Nvidia corporation (20240336285). EFFICIENT SAFETY AWARE PATH SELECTION AND PLANNING FOR AUTONOMOUS MACHINE APPLICATIONS simplified abstract
Contents
EFFICIENT SAFETY AWARE PATH SELECTION AND PLANNING FOR AUTONOMOUS MACHINE APPLICATIONS
Organization Name
Inventor(s)
David Nister of Bellevue WA (US)
Zhenyi Zhang of San Jose CA (US)
Yizhou Wang of San Jose CA (US)
EFFICIENT SAFETY AWARE PATH SELECTION AND PLANNING FOR AUTONOMOUS MACHINE APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240336285 titled 'EFFICIENT SAFETY AWARE PATH SELECTION AND PLANNING FOR AUTONOMOUS MACHINE APPLICATIONS
Simplified Explanation: The patent application discloses systems and methods for weighting optional paths based on obstacle avoidance or safety considerations for vehicles.
- **Key Features and Innovation:**
- Comparison of trajectories to ensure safety procedures are implemented by all actors. - Filtering out paths based on spatial relationships to avoid collisions. - Penalizing or removing paths that do not meet collision-free standards.
Potential Applications: This technology can be applied in autonomous vehicles, drones, and robotics to enhance safety and obstacle avoidance capabilities.
Problems Solved: This technology addresses the challenge of ensuring safe navigation and obstacle avoidance for vehicles in complex environments.
Benefits: - Improved safety for vehicles and pedestrians. - Enhanced efficiency in route planning. - Reduced risk of collisions and accidents.
Commercial Applications: The technology can be utilized in autonomous vehicle systems, drone delivery services, and industrial automation for enhanced safety and efficiency.
Questions about Obstacle Avoidance Technology: 1. How does this technology improve safety in autonomous vehicles? 2. What are the potential implications of using obstacle avoidance systems in drones?
Frequently Updated Research: Ongoing research in this field focuses on real-time obstacle detection and avoidance algorithms for various types of vehicles.
Original Abstract Submitted
in various examples, systems and methods are disclosed for weighting one or more optional paths based on obstacle avoidance or other safety considerations. in some embodiments, the obstacle avoidance considerations may be computed using a comparison of trajectories representative of safety procedures at present and future projected time steps of an ego-vehicle and other actors to ensure that each actor is capable of implementing their respective safety procedure while avoiding collisions at any point along the trajectory. this comparison may include filtering out a path(s) of an actor at a time step(s)—e.g., using a one-dimensional lookup—based on spatial relationships between the actor and the ego-vehicle at the time step(s). where a particular path—or point along the path—does not satisfy a collision-free standard, the path may be penalized more negatively with respect to the obstacle avoidance considerations, or may be removed from consideration as a potential path.
