首页|Patent Application Titled 'Hierarchical Vehicle Action Prediction' Published Onl ine (USPTO 20240190474)
Patent Application Titled 'Hierarchical Vehicle Action Prediction' Published Onl ine (USPTO 20240190474)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – According to news reporting originating from Wash ington, D.C., by NewsRx journalists, a patent application by the inventors Wang, Yu (San Jose, CA, US); Yang, I-Hsuan (Mountain View, CA, US), filed on May 25, 2023, was made available online on June 13, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “Vehicles are now capable of self-driving with different level s of autonomy. Each of these levels is characterized by the relative amount of h uman and autonomous control. For example, The Society of Automotive Engineers (S AE) defines 6 levels of driving automation ranging from 0 (fully manual) to 5 (f ully autonomous). These levels have been adopted by the U.S. Department of Trans portation. Autonomous vehicles provide numerous advantages including: (1) loweri ng the number of vehicles on the roads, (2) more predictable and safer driving b ehavior than human driven vehicles, (3) less emissions if there are fewer vehicl es on the road, and if they are electrically powered, (4) improved travel effici ency, fuel economy, and traffic safety if they are controlled by computers, (5) increased lane capacity, (6) shorter travel times, and (7) increased mobility fo r users who are incapable of diving.
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