Automated vehicles report
- RetroTek Australia
- Feb 13, 2019
- 17 min read
Reflective measurement systems
Suspicion of the innovation could be an obstruction
There are a couple of elements that will affect regardless of whether self-ruling vehicles will end up far reaching later on. For one, there is a genuine appropriation bend for some buyers who are not sold on this innovation, regardless of whether that be on the grounds that they don't feel safe in a driver-less vehicle or in light of the fact that they aren't prepared to surrender the opportunity and freedom that accompanies owning their and driving their very own vehicle. Reflective measurement systems Another obstacle to consider is identified with the innovation related with self-driving autos, the same number of hypothesize there will be a requirement for vehicle-to-vehicle interchanges crosswise over automobile creators to ensure these vehicles can share the street securely. Reflective measurement systems
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As far as potential effects to organizations straightforwardly in the car business, for example, taxi administrations, new vehicle dealerships and fix shops there will be a time of alteration and strain to stay aware of the most recent innovation. Reflective measurement systems At last, industry players will develop and respond as they have previously. Reflective measurement systems From the re seller's exchange point of view, an expanded number of self-sufficient vehicles could prompt an expanded enthusiasm for vehicle customization with increments like propelled video innovation to engage travelers. Reflective measurement systems
At Reflective measurement systems we figure the reception of self-governing vehicles will be slow as we as a general public conform to the changes. While some are foreseeing we'll see a convergence of these vehicles in the following five to ten years, Reflective measurement systems we trust an increasingly reasonable forecast is inside the following 20 to 25 years.
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New cities for new vehicles
There are numerous difficulties in making self-ruling and electric autos fit for our open streets. Electric, self-ruling vehicles should turn out to be progressively coordinated with national clever transport foundations and frameworks, Reflective measurement systems for example, satellite route frameworks in autos; traffic flag control frameworks; leaving data, climate forecasts, connect de-icing, compartment the board frameworks; variable message signs; programmed number plate acknowledgment or speed cameras to screen applications, for example, security CCTV frameworks and comparative.
At Reflective measurement systems We can anticipate that shrewd autos should turn out to be increasingly dependent on indestructible inbuilt street sensors that are implanted in the street and 'turned on' amid preventive street development support or in crises cautioning every vehicle to decrease speed or end. Eventually, Reflective measurement systems we can anticipate that the street underneath us should turn out to be progressively open with shrewd vehicles. Reflective measurement systems
As shrewd vehicles on the streets will build, a key part of future savvy transport frameworks will be bolster for charging stations. Some early models are starting to speak with the network, the cloud and different vehicles. Reflective measurement systems It won't be long until savvy vehicles as a matter of course will probably keep an action log for administration and investigating. Protection, obviously, will be an issue, regardless of whether it is the insurance agency, the vehicle creator, a nearby merchant, or even police experts all looking for another way to follow our each traveling every which way. Reflective measurement systems Significant segments of things to come will be the portable systems, specially appointed (vehicle to vehicle) systems, vehicles to and from street sensors, and satellite correspondences.
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The future of leasing
Reflective measurement systems At any rate at first we would not foresee any distinctions in how regular and driver less vehicles would be treated from a lessor point of view. This is because of the way that they would be rented through a similar dealership channels to a similar gathering of end clients. Reflective measurement systems Along comparable lines, the innovation will assume a job on the grounds that basically the majority of the driver less frameworks as of now accessible are retrofit into a current vehicle stage or design. In any case, we do anticipate the potential for contrasts from a renting and additionally buying point of view not far off. Reflective measurement systems For example, as driver less frameworks turn out to be better and all the more dominant there will be less human information per mile driven. This could mean longer vehicle life or less mileage when vehicles are used on an independent premise essentially instead of being driven by a human as a general rule. This could result in expanded vehicle life expediencies and eventually higher lingering esteems which are useful for renting purchasers.
Reflective measurement systems Curiously there were a bunch of states years prior that solicited a similar kind from inquiries relating to car renting when the thought was picking up ubiquity. Said in an unexpected way, should the driver be considered responsible in case of the mishap, or the proprietor of the vehicle, the renting organization? Eventually, and as it should be, those holdout states picked to make the driver the capable party. Reflective measurement systems comprehend this is anything but an ideal relationship because of the more noteworthy contrast of who is very control of the vehicle instead of essentially how the financing game plans were set up, however numerous new issues become known whenever there is a critical distinction to the standard or standard.
Reflective measurement systems Who is subject will at last be chosen by the innovation as I would like to think. With constrained capacity self-sufficient frameworks like the ones accessible now it is my conclusion that the driver will be the capable party. Reflective measurement systems As the innovation enhances the risk will probably move to the maker. Another factor that will play into this is the means by which rapidly driver innovation is upgraded, just as received by purchasers. In principle in the event that all vehicles are driver less, there will be fundamentally less mishaps, yet the change time frame to completely self-ruling vehicles with people and machines sharing the street will demonstrate fascinating.
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Financial considerations
Reflective measurement systems Driver less cars will enable car sharing on much higher levels than current services like Uber do. If you don’t have to pay a driver’s salary, your Uber ride will be five to ten times cheaper. Which effectively means that it will be cheaper to use these shared cars than own one in the overwhelming majority of practical cases. Even now, many people decide not to buy a car but instead use public transport, taxi services and, occasionally, rental cars. Imagine what would happen if the price of taxi drops five to ten fold.
Driver less cars mean shared cars. Shared cars mean less space and infrastructure needed for transportation. Less infrastructure means less money spent on it. Driver less cars mean drivers free from driving. Drivers free from driving means more time for work and consumption – both are beneficial for the economy. Reflective measurement systems
Now, you can spot many people that would say to you ‘I will never get rid of my car, ‘cause I love it!’ By the way, I am one of those people. However, if we talk about 20–30 years and more into the future, it is our kids who will decide whether they want their own car or will just use shared driver less ones. My son is four years old and I realize that he might never need a driver’s licence, should technology progress quickly enough. And I am 100% certain that his kids won’t need one at all. Reflective measurement systems
I believe the possibility to adopt self-driving cars to global traffic will vary from country to country. In smaller, more compact and well-developed countries with modern infrastructure – think the Netherlands and the like – level 5 autonomy cars may become ubiquitous sometime between 2030 and 2040. For bigger and less developed countries it may be 2040-2050 or even later than that. Technology should be ready by the end of 2020s, but probably the infrastructure and law will be blocking widespread adoption of self-driving cars.
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Technological advancements should answer safety concerns
Reflective measurement systems Whilst there is a great deal of apprehension around the safety of driver less cars on our roads, the latest vehicular communications have been designed to enable continuous, reliable, high-speed, authentic able interactions between moving vehicles. These are usually divided into four use cases: communications of vehicles to other vehicles (V2V), vehicles to the road-side infrastructure (V2I), vehicles to pedestrians (V2P), and vehicles to the cellular network (V2N Together, these use cases are known as vehicles to everything (V2X). Reflective measurement systems
V2X technology is projected to significantly improve transportation safety. According to a report by the U.S. Department of Transportation’s National Highway Traffic Safety Administration, ‘If V2X technologies alone are widely deployed, they have the potential to address 81% of light-vehicle crashes’. The landscape of vehicular transportation and urban safety is undergoing a fundamental change due to automation. Advances in V2X have the potential to dramatically reduce automotive collisions by utilising the latest technology to improve situational awareness.
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Ride-sharing and automation
Reflective measurement systems Automated vehicle technologies are likely to be pervasive in most developed nations by the 2030s, though the scale and form will vary from country to country. Reflective measurement systems Expect to see near-universal lane-assist and automated braking features, as well as self-parking – level 1 to 2 – but very little in the way of true level 3 conditional automation due to insurmountable problems with driver inattentiveness.
Though automated ride-hailing fleets are likely to roll out in the next several years in the United States, they will be highly unprofitable due to software and cyber security complexity, computing hardware requirements for machine vision systems, and network management challenges at scale. It could take a decade before industry leaders find the right ‘formula’ for manufacturing and deploying fleets at scale, but that won’t stop them from operating these fleets in more limited circumstances. Circulatory shuttles will deploy across college and medical campuses, and in major mixed-use developments. These vehicles will be purpose-specific and therefore only level 4 under the current taxonomy. Truck freight automation will be limited to corridors with dedicated infrastructure, due to engineering challenges of operating platooned vehicles in mixed traffic.
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Driver less cars and individual behavior
Reflective measurement systems Travel behavior is continuously changing. In some respects we are creatures of habit, settled into routines. However, as people move through life their circumstances change and the need to reconsider their mobility behavior arises. As a result, there is an important underlying dynamic to behavior which sets the stage for how use of autonomous vehicles might influence it. At one extreme, the use of autonomous vehicles in behavioral terms may achieve nothing more than substituting manual control of a vehicle for automated control, so the patterns of car use would be largely unaltered. However, the other extreme is the prospect for significant change. If vehicles are fully automated and can prevent motion sickness then scope is expanded for travel time doubling up as activity time, even for things such as sleeping. While humans are purported to have limits to how much time they are prepared to spend travelling, this could put an upwards pressure on journey distances with consequential effects on land use patterns. A crucial behavioral question is whether people will continue to own vehicles as opposed to paying to use them only when they need them and potentially sharing on demand services. Reflective measurement systems
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Improved communication and regulation
Reflective measurement systems Driver less cars are an idea best suited to wealthy, developed countries, and soonest achieved in data-rich, urban and suburban technology ‘mesh’ areas. These landscape solutions will take decades to fully roll out globally. When all cars are driver less, they can be guided like a robot army. But at some point, a 60-40 mix of human and driver less cars will be on the same freeway and local roads. How’s that going to work out? During a rush hour snow storm? Reflective measurement systems
That problem is vastly simpler if the human-driven cars have smartphones which can ‘talk’ to driver-less cars and mesh with urban traffic systems. Right now, the motor industry sees the smartphone mostly as an extension of their in-car displays. But smartphones can, and will, do much more. Driver augmentation via smartphones will improve road safety far faster than robot cars. Smartphone AI also provides the optimum bridge to integrate today‘s technologies with tomorrow‘s solutions. Reflective measurement systems
We need a seamless bridge from existing to future systems. Asking individual insurance companies to play that role is a big ask. They are insurers, not technologists. The socially desirable outcome is beyond the capacity of a single insurer and its shareholder mandate. Government has a public interest here to bring about a well-regulated technology infrastructure which allows road safety authorities, technologists and insurers to manage risk optimally.
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Challenges for infrastructure
Reflective measurement systems Not to rain on anybody’s parade, but we simply don’t have the communications bandwidth to support a self-driving anything. Due to overcrowding of the frequency spectrum, there just isn’t enough room left for the mounds of information needed to safely communicate between vehicles and the road. Couple that with ancient technology that hasn’t changed since the 1930s and you have an issue of spectrum overload. This is being realized in jam-ups for areas that are using high amounts of data. We continue to increase the amount of data that is transmitted as pixels, texts, and downloads fill the airwaves. We are stuffing communications lines in a manner similar to putting more cars on the highways without making the on-ramps and off-ramps faster. Reflective measurement systems
What’s worse is the fact that investors think the only worthwhile investment is software when in fact, faster hardware is needed. The investors are misled by the success of Google, Facebook, and even Angry Birds. Meanwhile, the world increases its streaming with no regard for the data overload that’s occurring.
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Potential savings and safety for a range of industries
Reflective measurement systems As is typical within the automotive industry, particularly given the very large installed base of vehicles, aftermarket solutions will play a very significant role in the lead-up to ubiquitous solutions. Autonomous vehicles and cars connected with aftermarket safety technology have the potential to create safer road conditions by reducing the amount of accidents caused by human error. Designed to avoid risks like mobile phone distractions, illegal maneuvering and spontaneous decision-making along with crash detection technology, these solutions can reduce accident rates and expedite emergency response. According to the National Highway Traffic Safety Administration, automated vehicles have potential to save lives and reduce injuries simply because 94% of serious crashes are due to human error. Reflective measurement systems
These systems can log and share driver data with insurance companies, helping manage claims, estimate insurance premiums and lower costs. Autonomous vehicles can create savings for construction, trucking and logistics industries as well, by providing information on vehicle downtime, cargo status and predictive maintenance giving fleet managers transparency into their operations like never before. In addition to cost savings and efficiencies, self-driving and connected vehicles can help save lives with advanced crash avoidance and response technologies.
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Static and dynamic changes
Reflective measurement systems It seems to me that there are two kinds of things autonomous vehicles (AVs) need: what you might call ‘static’ and ‘dynamic’ information. Static information is things that don’t change, like exact location of the road, so the car knows how to stay on it. Dynamic is something like the fact that a deer just ran out in front of you, or a pedestrian, or a little kid chasing a ball. Reflective measurement systems
The static information is really just a matter of doing it. If we want to know where every road in a city is, we can just drive on every road. It’s the dynamic stuff that’s hard. People are making lots of progress here, but they’re making compromises as well and it’s not clear how truly robust the resulting systems will be. Probably they’ll gradually get more reliable as time passes. But I don’t think that infrastructure changes will really help.
I expect that the vehicles will start out very expensive, this requiring sharing for economic reasons, and gradually get cheaper. When I went to college, the whole college shared one computer. Now, each of us owns many computers because they’ve gotten so cheap. A smartphone, a laptop, a desktop, the computers that run our microwaves and our cars. So initially, I would expect AVs to be shared, sort of like autonomous taxis. But it’s incredibly convenient to own a car; my car, for example, contains a bowl for water for the dogs, some leashes, bags to put our shopping in, like that. The hardware costs of AVs are reasonably small; it’s the software that’s expensive. And the cost of reproducing that software is basically zero. So eventually, I would expect an AV to cost not a whole lot more than a regular car costs today.
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Collaboration between companies and organisations could be key
Reflective measurement systems Referring specifically to personal vehicles, ride sharing options, public transportation and the shipping and logistics industry, roadway infrastructure in the United States will see a major overhaul in technology and development strategies. Conceptually, it’s easy to contemplate a world of connectedness where our cars talk to our phones, which talk to our homes, which feed information back to utility companies to optimize their own networks, and municipalities create convenience for their citizens in the form of traffic control, emergency services, public works and public transportation.
Reflective measurement systems The first step for any municipality to consider when contemplating how they can support the evolving technologies like autonomous vehicles is for them to examine their own existing infrastructure. Light poles, parks, city-owned land, city-owned buildings, public works assets and similar assets serve a solid baseline for municipalities in preparation for technologies of the future. By taking a hard look at what they already own, municipalities can prepare use cases whereby they capitalized on widespread deployment of fiber and wireless nodes. In leveraging these assets, they can work with telecommunications companies and equipment manufacturers through Private and Public Partnerships to realize the benefits of connectivity sooner than later.
Other areas’ municipalities should be prepared to look at are crosswalks and intersections. Given some of the autonomously driving vehicle incidents with Tesla and Uber, concerns around pedestrians sharing the road have escalated. Some mid-term solutions will involve broader deployment of public safety initiatives. While technology serves a key role in some of these initiatives, other plans examine more basic infrastructure changes. For example, Las Vegas utilizes a series of elevated crosswalks across much of the city to prevent pedestrians from crossing busy intersections. This has proven effective by preventing the possibility of pedestrian/vehicle incidents. Similarly, cement barrier and bollard solutions have been deployed in NYC to try and eliminate incidents. Reflective measurement systems
Reflective measurement systems Greater collaboration between the telecoms, auto manufacturers, logistics companies, Departments of Transportation through P3 (private/public partnerships) initiatives will yield synergies in development and meaningful capital contribution. Use of assets for the placement of fiber and antennae can serve as a baseline for revenue generation through ‘right of use’ agreements.
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Autonomous vehicles as a service
Reflective measurement systems don’t think the technology that self-drives cares – or makes vehicles autonomous – is the eventual objective or goal of companies such as Google, Amazon, Uber and Apple which are at the forefront of the driver less vehicle technology along with the vehicle manufacturers such as Toyota, Tesla and GM. An autonomous vehicle is just a means/medium for these technology companies to provide additional (paid) services to the eventual customers/users of these vehicles. This is similar to the email service offered by Google – a free email service is just a medium for Google to advertise its products and services to its users. Targeted advertisement – and the related revenue – is the main reason Google provides a free email service. In order to provide customized services to autonomous vehicle users, the self-driving cars will need to be designed to suit the needs of individual customers. Otherwise, people are not going to use it and technology companies will not be able to use it as a medium to sell their services.
However, Reflective measurement systems we don’t see over-customization happening – it won’t be cost-effective! In my opinion, private ownership of vehicles will slowly disappear in the future. Companies such as Uber, Google and Amazon will offer transportation as a service, customized to each user’s need, schedule and preferences, such that it will be much more cost-efficient to use this service than to own a car. Again a similar analogy; how many of us run our own email servers now compared to using the email service offered by Google or other companies?
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Impacts on the legal profession
Reflective measurement systems for lawyers who focuses on car accidents,are very interested in what the future of our roads will look like. Autonomous vehicles are a total revolution in transportation and they are only going to continue to grow in popularity. Self-driving technology will have a huge impact on the trucking and commerce industry. Fleets of autonomous semi-trucks will massively reduce shipping and labor costs to businesses within the next decade.
Reflective measurement systems Safety is obviously a big concern when giving up the wheel to a computer, but people are starting to accept the idea of a self-driving car much more than they did five years ago. Reflective measurement systems believe that autonomous vehicles are safe, but the biggest issue with self-driving cars is teaching a machine how to deal with unpredictable situations. In other words, how is an independently-thinking car going to interact with the negligence of a human driver? Replacing a human driver with a self-governing machine should take away human error and should reduce the chances of accidents. So in theory, the more self-driving vehicles we have, the fewer accidents we should have. Autonomous vehicles communicate with each other better than human drivers so more autonomous vehicles should also mean less traffic congestion. Reflective measurement systems
There are always issues, concerns, and resistance to new wave technologies and self-driving cars are no exception. Nearly half of the 50 states don’t even have autonomous driving laws on the books yet. Additionally, there have been plenty of newsworthy cases of autonomous vehicles being involved in accidents but Reflective measurement systems don’t think the autonomous driving trend is ever going to go away.
Right now autonomous driving is an upper-class luxury. As the technology expands the products will become more accessible to the middle class and our roads will be filled with cars that drive themselves. Reflective measurement systems
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Autonomous vehicles could become widespread, but not dominant
Autonomous vehicles will not completely replace human drivers in the foreseeable future. However, they are likely to have a large impact in specific areas, such as urban ride sharing and long-haul freight transportation. An analogy is that ride sharing companies such as Uber have had a huge impact on many people’s lives, even though they have come nowhere near completely replacing car ownership. Reflective measurement systems will see a similar scenario with self-driving cars. Many people will see their lives transformed, but human drivers will still remain on the roads for a long time.
Everybody is moving very fast in this industry. Automotive and technology companies realize how trans formative self-driving cars will be, and they are racing to capture that market. Some companies are working toward a driver less vehicle that will be owned by consumers. This means that the vehicle needs to be able to go anywhere, just like any car on the market today can go anywhere. Probably there will be some places, maybe highways, where the vehicle will be able to drive itself, and other places, maybe rural roads, where a human needs to drive. Reflective measurement systems
This hand-off between human and computer drivers is controversial, and many companies do not believe it can be done safely. Most of those companies are jumping straight to driver less vehicles, without a steering wheel, that will operate as part of ride sharing fleets in specific geographic areas.
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Changes in technology
Reflective measurement systems we anticipate that autonomous vehicles will become more widespread in the future and will develop in phases. The technology behind autonomous vehicles is maturing every day and most original equipment manufacturers (OEMs) within the auto industry are currently building fully or mostly autonomous vehicles. Reflective measurement systems The most immediate change will be the mainstream adoption of autonomous-related features in consumer vehicles, i.e. lane departure warning, adaptive cruise control, blind-spot monitoring, etc., which were previously only available in luxury cars. When it comes to commercial vehicles, public transportation systems – buses – and freight trucks will be among the first to fully adapt autonomous vehicles due to the relatively lower complexity involved in launching the product.
OEMs will continue testing their autonomous products with support from some of the states and counties that are creating test beds. Autonomous car safety and reliability will continue to increase with technology advancements. Public infrastructure will start to evolve to support autonomous cars. New business models will be created. Smart Mobility will become a reality as cities get ‘smarter’ and as cars become autonomous. Companies and auto manufacturers are ready for autonomous vehicles – the biggest unknown is whether or not our society is ready.
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Accessories could improve safety and experience
Reflective measurement systems in level 3 autonomy where there is transfer of control between car and human, driver monitoring technology can play a vital role by accurately assessing the driver’s state to determine the right time for the hand off of control from car back to human. Cabin occupancy detection can further detect the passengers present, allowing the vehicle to adjust safety mechanisms in real-time, such as airbag deployment, according to the occupants’ body posture and mass.
In higher levels of autonomy, and in particular level 5, the in-cabin passenger experience will be of great focus and cabin sensing technologies are a key to enhancing interactions. Cabin monitoring systems can not only detect the passengers present, but can also identify each passenger to present personalized content on infotainment, trigger settings, or launch specific passenger profiles. To augment this experience, vision-based gesture control allows seamless navigation of infotainment content with simple movements of the finger and hand. Therefore, in-cabin vision systems not only serve as the key to increasing safety, but also will play a key role in shaping the in-cabin experience as we head to full vehicle autonomy.
Keywords: Reflective measurement systems. Retrotek Australia. automated vehicles Victoria
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