Intel builds drone system to avoid accidents

According to Bloomberg News, Intel has introduced a groundbreaking system designed to prevent self-driving cars from causing accidents, even when errors occur. This initiative aims to address public concerns about the safety of autonomous vehicles and accelerate their deployment on roads worldwide. The world’s leading chipmaker is now rolling out a set of standards based on mathematical models to regulate how robotic cars and trucks behave. Intel believes these guidelines will help clarify liability in the event of an accident, making it easier to determine who is at fault—whether it's the machine or the human. Dan Galves, Intel’s vice president at Mobileye, explained that “any self-driving car in real-world use will eventually be involved in an accident.” He added, “Compared to human-caused accidents, the public has much lower tolerance for mistakes made by machines.” Mobileye, which was recently acquired by Intel, is a key player in automotive technology. Many auto parts manufacturers believe that the shift toward autonomous driving is increasing the demand for powerful computing systems, creating a new growth opportunity. Intel shares this view. While automakers, suppliers, and companies like Uber and Alphabet are testing self-driving technologies, Intel and its competitors are pushing for faster progress. They want the industry to move beyond pilot programs and into mass production to ensure returns on their R&D investments. Intel is working to create a framework that can prevent chaos when self-driving cars share the road with unpredictable human drivers—a scenario that represents the future of transportation. The company has analyzed nearly all the accident data collected by the U.S. National Highway Traffic Safety Administration (NHTSA) and developed a mathematical model to define a quantifiable "safety state" for autonomous vehicles. If adopted by the automotive industry, suppliers, and regulators, these standards could become the foundation for the software running on compliant vehicles. This would speed up the validation of automated driving technology and benefit Intel’s chip manufacturing business as well. Under Intel’s proposed guidelines, a self-driving car would approach a parked vehicle at a slow enough speed to stop safely if a pedestrian suddenly appears. The company claims this calculation is possible because it knows maximum speeds and can model them accurately. Similarly, the system can calculate safe distances from other vehicles and ensure there is enough space to stop. If a reckless human driver suddenly cuts in front of a robot car, the standard would clearly assign fault, even if the autonomous vehicle was following another car. Intel argues that the current path taken by the self-driving car industry is too slow and not practical. Overly cautious vehicles limit their usefulness and can be unsafe by blocking traffic flow. The company believes that proving the safety of self-driving cars through real-world deployment and measuring fewer accidents compared to human-driven vehicles is not feasible, as any incident involving a robot car draws significant public attention.

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