TORC Robotics, Inc. (20240208492). COLLISION AWARE PATH PLANNING SYSTEMS AND METHODS simplified abstract
COLLISION AWARE PATH PLANNING SYSTEMS AND METHODS
Organization Name
Inventor(s)
Ryan Chilton of Blacksburg VA (US)
COLLISION AWARE PATH PLANNING SYSTEMS AND METHODS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240208492 titled 'COLLISION AWARE PATH PLANNING SYSTEMS AND METHODS
The patent application focuses on systems and methods for path planning for autonomous vehicles that prioritize a safer road position and a safer type of collision if one were to occur.
- Autonomous vehicle perception module detects target objects within a region of interest (ROI).
- Autonomous vehicle processor estimates relative velocity between the ego vehicle and target objects, as well as estimates the mass of target objects.
- Collision-aware path planning calculates a cost function that assigns higher costs for paths that take the vehicle close to objects with a large velocity difference and higher costs for objects with large estimated mass.
- Path planning provides a cost map that yields a path with appropriate buffer distances between the autonomous vehicle and surrounding objects.
- In the event the ego vehicle balances buffer distance margins to multiple surrounding target objects, target objects that would create more severe collisions are given greater buffer distance.
Potential Applications: - Autonomous driving systems - Collision avoidance technology - Transportation and logistics industry
Problems Solved: - Enhancing safety in autonomous vehicles - Improving collision avoidance strategies - Optimizing path planning for vehicles
Benefits: - Reduced risk of collisions - Increased safety for passengers and pedestrians - Enhanced efficiency in autonomous driving systems
Commercial Applications: Title: "Advanced Collision-Aware Path Planning Technology for Autonomous Vehicles" This technology can be utilized in self-driving cars, delivery services, and public transportation systems to enhance safety and optimize route planning.
Prior Art: Researchers and developers in the field of autonomous vehicles, collision avoidance systems, and path planning algorithms may have explored similar concepts.
Frequently Updated Research: Stay updated on advancements in autonomous vehicle technology, collision avoidance systems, and path planning algorithms to incorporate the latest innovations into this technology.
Questions about Autonomous Vehicle Path Planning: 1. How does this technology improve safety in autonomous vehicles? - This technology enhances safety by prioritizing a safer road position and minimizing the risk of severe collisions through advanced path planning algorithms. 2. What are the key factors considered in collision-aware path planning for autonomous vehicles? - Factors such as relative velocity between the ego vehicle and target objects, estimated mass of target objects, and buffer distances between the vehicle and surrounding objects are crucial in collision-aware path planning.
Original Abstract Submitted
systems and methods for path planning for autonomous vehicles err on the side of a safer road position and safer type of collision if one were to occur. an autonomous vehicle perception module detects target objects within a region of interest (roi). an autonomous vehicle processor estimates relative velocity between the ego vehicle and target objects, and estimates mass of target objects. collision-aware path planning calculates a cost function that assigns higher costs for paths that take the vehicle close to objects that have a large velocity difference and higher costs for objects with large estimated mass. path planning provides a cost map that yields a path that has appropriate buffer distances between the autonomous vehicle and surrounding objects. in the event the ego vehicle balances buffer distance margins to multiple surrounding target objects, target objects that would create more severe collisions are given greater buffer distance.
