Waymo llc (20240317265). COLLISION EVALUATION USING A HIERARCHY OF GRIDS simplified abstract
Contents
COLLISION EVALUATION USING A HIERARCHY OF GRIDS
Organization Name
Inventor(s)
Tian Jin of San Francisco CA (US)
Mingxiang Fan of Cupertino CA (US)
Rajiv Kurian of Redwood City CA (US)
COLLISION EVALUATION USING A HIERARCHY OF GRIDS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240317265 titled 'COLLISION EVALUATION USING A HIERARCHY OF GRIDS
The abstract of the patent application describes a method for evaluating a planned trajectory for an autonomous vehicle by analyzing predicted trajectories of objects in the vehicle's path.
- The planned trajectory of the vehicle includes specific locations and times where the vehicle will be present.
- A grid is generated for each object, with multiple cells representing different areas.
- The occupancy of each cell in the grid is determined based on the predicted trajectories of the objects.
- The evaluation of the planned trajectory involves identifying cells that will be occupied by the vehicle at specific times and locations.
- The planned trajectory is assessed based on whether any identified cell is occupied by any of the objects at the specified time.
Potential Applications: - Autonomous driving systems - Traffic management systems - Collision avoidance technology
Problems Solved: - Enhancing the safety and efficiency of autonomous vehicles - Improving decision-making processes for vehicle trajectories
Benefits: - Minimizing the risk of collisions - Optimizing route planning for autonomous vehicles - Enhancing overall traffic flow and safety
Commercial Applications: Title: Autonomous Vehicle Navigation and Collision Avoidance System This technology can be utilized in self-driving cars, delivery drones, and other autonomous vehicles to ensure safe and efficient navigation in various environments.
Prior Art: Researchers can explore existing patents related to autonomous vehicle navigation, collision avoidance systems, and predictive modeling in transportation technology.
Frequently Updated Research: Stay informed about advancements in artificial intelligence, machine learning, and sensor technology that could further enhance autonomous vehicle navigation systems.
Questions about Autonomous Vehicle Trajectory Evaluation: 1. How does this technology contribute to the development of autonomous driving systems? 2. What are the key factors considered in evaluating the planned trajectory of an autonomous vehicle?
Original Abstract Submitted
aspects of the disclosure provide for evaluation of a planned trajectory for an autonomous vehicle. for instance, for each of a plurality of objects, a predicted trajectory may be received. the planned trajectory may identify locations and times that the vehicle will be at those locations. for each of the plurality of objects, a grid including a plurality of cells may be generated. occupancy of each grid for each of the plurality of objects may be determined based on the predicted trajectories. a cell of each grid which will be occupied by the vehicle at a location and time of the planned trajectory may be identified. the planned trajectory may be evaluated based on whether any identified cell is occupied by any of the plurality of objects at the time.
