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Why did Ford build a 'fake driverless car' using a man dressed as a seat?

The Guardian

Local news publication ARLnow caught the ghostly vehicle on camera and speculated that it was part of Virginia Tech's autonomous driving research. The "seat suit" stunt was the brainchild of Ford and Virginia Tech Transportation Institute research exploring how self-driving vehicles can communicate their intent to pedestrians, human drivers and cyclists. Ford and Virginia Tech wanted to test how people would react to light signals replacing some of this communication. "We needed to try out this new lighting to communicate the intent of the vehicle, but if you've got a driver behind the seat you still have natural communication between humans like eye-to-eye contact," said Andy Shaudt, who headed the research at Virginia Tech.


How BMW Uses Artificial Intelligence And Big Data To Design And Build Cars Of Tomorrow

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But technology is not just limited to the cars it builds, its business model is built on Big Data which drives everything it does across design, engineering, production, sales and customer support. Thanks to Artificial Intelligence (AI), data-driven predictive analytics and other cutting edge technologies BMW is able to build the cars of today while at the same time envisaging and bringing to reality the cars of tomorrow. It has stated that its aim is for its vehicles to achieve full "level 5" autonomy by 2021. More details of how this would be achieved began to emerge earlier this year when BMW announced a partnership with Intel, which itself had recently acquired Mobileye, a leader in computer vision technology.


IBM's New Cognitive AI System Will Drastically Reduce Accidents Of Autonomous Vehicles

#artificialintelligence

The entire automobile industry seems to be focused on one thing only: a successful 100% autonomous car. The autonomous vehicle technology has come a very long way through the years. If this system finds symptoms of distraction or another anomaly, it will decide to take control of your car. "What we are doing is envisioning a self-driving vehicle that is able to assess the readiness and risk associated with a human taking control of the vehicle, given some anomaly on board."


Tesla seeking to test driver-free electric trucks on public roads

The Guardian

Tesla is working on electric, self-driving trucks that can travel in "platoons" or road trains capable of following a lead vehicle, according to leaked correspondence with regulators. The electric truck, which is due to be unveiled in September by Elon Musk's electric vehicle company, is close to prototype on-road testing, with both Nevada Department of Motor Vehicles (DMV) and California officials in talks to permit trials on public roads, according to documents seen by Reuters. Several Silicon Valley companies developing autonomous driving technology are working on long-haul trucks. Some companies also are working on technology for road trains, a driving formation where trucks follow one another closely.


How BMW Uses Artificial Intelligence And Big Data To Design And Build Cars Of Tomorrow

#artificialintelligence

But technology is not just limited to the cars it builds, its business model is built on Big Data which drives everything it does across design, engineering, production, sales and customer support. Thanks to Artificial Intelligence (AI), data-driven predictive analytics and other cutting edge technologies BMW is able to build the cars of today while at the same time envisaging and bringing to reality the cars of tomorrow. It has stated that its aim is for its vehicles to achieve full "level 5" autonomy by 2021. More details of how this would be achieved began to emerge earlier this year when BMW announced a partnership with Intel, which itself had recently acquired Mobileye, a leader in computer vision technology.


How to make self-driving cars safe. Rules and regulations.

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Last year, a Florida man became the first person to die in a crash involving autonomous driving technology. The National Highway Traffic Safety Administration (NHTSA) has the authority to write what are known as federal motor vehicle safety standards (FMVSS). According to Husch, state regulations cover vehicle use, including licensing, registration, traffic safety, law enforcement, and insurance liability. To prevent this, the NHTSA last year issued a report, "Federal Automated Vehicle Policy," that lays out guidelines for the states to follow in crafting their rules.


Can robot cars trust human operators? Provided By Advertising Publications

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Three years ago, Google's self-driving car project abruptly shifted from designing a vehicle that would drive autonomously most of the time while occasionally requiring human oversight, to a slow-speed robot without a brake pedal, accelerator or steering wheel. The company made the decision after giving self-driving cars to Google employees for their work commutes in San Francisco and recording what the passengers did while the autonomous system did the driving. In-car cameras recorded employees climbing into the back seat, climbing out of an open car window, and even smooching while the car was in motion, according to two former Google engineers. To outline a development path to complete autonomy, the automotive industry has established five levels of human-to-machine control, ranging from manual driving -- Level 0 -- up through complete autonomy, Level 5.


Will Replacing Human Drivers With Self-Driving Cars Be Safer?

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The rise of self-driving cars will usher a "much safer mode of transportation" by "removing the human from the loop," Salesky said on Wednesday at the Rutberg FM technology conference in Half Moon Bay, Calif. Human drivers are more prone to distractions and errors in their judgment compared to autonomous cars in the future, Salesky believes. But Ford has a lot of work to do to improve autonomous vehicle technology, Salesky admitted, especially in terms of creating autonomous cars that can perceive nuances like the differences between children by themselves and when they are holding their mother's hands. He explained that miles logged by self-driving cars on the highway are not as valuable to researchers as miles driven in urban environments, because city driving involves more unpredictable variables like people suddenly crossing streets. This unpredictability can be used to help researchers create more powerful self-driving cars that can handle all driving situations, not just highway roads, which are "a much friendlier environment."


Smart system could cut test times for self driving cars

Daily Mail

The process, which was developed using data from more than 25 million miles of real-world driving, can cut the time required to evaluate robotic vehicles' handling of potentially dangerous situations by 300 to 100,000 times, saving 99.9 percent of testing time and costs, the researchers say. Yet for consumers to accept driverless vehicles, the researchers say tests will need to prove with 80 percent confidence that they're 90 percent safer than human drivers. Michigan Transportation Director Kirk Steudle says the laws put Michigan ahead of most other states with the possible exception of Florida in specifically allowing tests without a human driver. Steudle says the laws put Michigan ahead of most other states with the possible exception of Florida in specifically allowing tests without a human driver.


Self-Driving Cars Will Improve Traffic Flow, Perform Better Than Human Drivers, Study Says

International Business Times

The introduction of self-driven cars on road could change conventional traffic control concepts such as variable speed limits. The research team comprised of researchers with expertise in traffic flow theory, control theory, robotics, cyber-physical systems, and transportation engineering and conducted their tests in Tucson, Arizona using a single self-driven vehicle with at least 20 human-driven vehicles. They found that human driving causes major traffic jams, even in the absence of traffic signals and bottlenecks, erratic lane changes, mergers and disruptions. They were able to sort out the traffic, by simply manipulating the one self-driven car, concluding that even a small percentage of self-driven cars on the road could smoothen out traffic flow for all the other cars, eliminating jams and even increasing fuel economy for all cars on the road up to at least 40 percent.