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According to a 2020 Annual Review of Public Health review of the literature, self-driving cars "could increase some health risks (such as air pollution, noise, and sedentarism); however, if properly regulated, AVs will likely reduce morbidity and mortality from motor vehicle crashes and may help reshape cities to promote healthy urban environments."
Increases in the use of autonomous car technologies (e.g., advanced driver-assistance systems) are causing incremental shifts in the control of driving. [1] Liability for incidents involving self-driving cars is a developing area of law and policy that will determine who is liable when a car causes physical damage to persons or property. [2]
Modern automobiles contain hundreds of on-board computers processing everything from vehicle controls to the infotainment system. These computers, called Electronic control units (ECU), communicate with each other through multiple networks and communication protocols including the Controller Area Network (CAN) for vehicle component communication such as connections between engine and brake ...
Hacking into your computer and phone was bad enough, but this take the fear for cyber attacks to a whole new level. Hackers can now take over your car's controls, while you are driving.
How thieves hack your car. Basically, they clone your key fob. Once a thief gains access to a smart vehicle, they look for your car's on-board diagnostics board -- known as OBD board -- typically ...
Pedestrians look toward a Waymo autonomous self-driving Jaguar taxi stopped at a red light in Los Angeles. States are trying to prepare for more widespread use of self-driving cars in the future ...
Regulation of self-driving cars, autonomous vehicles and automated driving system is an increasingly relevant topic in the automotive industry strongly related to the success of the actual technology. Multiple countries have passed local legislation and agreed on standards for the introduction of autonomous cars.
Self-driving cars, he explained, present an extreme “long-tail” learning problem–where events that are rare and unexpected are also, collectively, numerous and a top priority to address.