Intel builds drone system to avoid accidents

According to Bloomberg News, Intel has introduced a groundbreaking system aimed at preventing accidents caused by self-driving cars, addressing public concerns and accelerating the adoption of autonomous vehicles on real roads. This initiative is designed to build trust in the technology while ensuring safer interactions between autonomous systems and human drivers. The world's leading chipmaker is now setting industry standards based on mathematical models that define how robotic cars and trucks should behave. These guidelines are expected to clarify fault responsibilities in case of accidents, offering a transparent framework for both manufacturers and users. Dan Galves, Intel’s vice president at Mobileye, emphasized that "any self-driving car will eventually be involved in an accident." He noted that the public’s tolerance for machine-caused incidents is much lower than for human errors. Mobileye, which Intel acquired earlier this year, plays a key role in developing these safety protocols. Many auto parts manufacturers agree that the shift to autonomous driving requires significant computing power, creating a new growth opportunity. Intel shares this vision, recognizing that widespread deployment of self-driving cars is essential to justify the substantial R&D investments made so far. While companies like Uber and Alphabet continue testing, Intel sees the need for the industry to move beyond pilot programs and into mass production. To prevent potential chaos on the roads—where self-driving cars and unpredictable human drivers coexist—Intel has developed a comprehensive framework. The company analyzed data from nearly all U.S. traffic accidents recorded by the National Highway Traffic Safety Administration (NHTSA) and created a mathematical model to define a quantifiable "safety state" for autonomous vehicles. If adopted by the automotive industry, these standards will serve as the foundation for the software running on compliant vehicles. This will not only speed up the validation process of self-driving technology but also benefit Intel’s chip manufacturing business. Under Intel’s guidelines, a self-driving car would approach a parked vehicle at a slow enough speed to ensure it can stop in time if a pedestrian suddenly appears. This calculation is possible because the maximum speed of pedestrians is known and can be modeled accurately. Similarly, the system can calculate safe distances from other vehicles, ensuring enough space to stop safely. In cases where a human driver acts aggressively, the standard will clearly assign fault, even if the autonomous car was following another vehicle. Intel argues that the current path of overly cautious self-driving cars is impractical and unsafe. Slow-moving vehicles hinder traffic flow and limit usability. To prove their safety, Intel believes that deploying self-driving cars on real roads, allowing them to learn and improve, is not feasible due to the high public scrutiny any accident would attract.

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