18432887. SAFETY PROCEDURE ANALYSIS FOR OBSTACLE AVOIDANCE IN AUTONOMOUS VEHICLES simplified abstract (NVIDIA Corporation)
Contents
- 1 SAFETY PROCEDURE ANALYSIS FOR OBSTACLE AVOIDANCE IN AUTONOMOUS VEHICLES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SAFETY PROCEDURE ANALYSIS FOR OBSTACLE AVOIDANCE IN AUTONOMOUS VEHICLES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SAFETY PROCEDURE ANALYSIS FOR OBSTACLE AVOIDANCE IN AUTONOMOUS VEHICLES
Organization Name
Inventor(s)
David Nister of Bellevue WA (US)
Hon-Leung Lee of Bellevue WA (US)
Yizhou Wang of Santa Clara CA (US)
SAFETY PROCEDURE ANALYSIS FOR OBSTACLE AVOIDANCE IN AUTONOMOUS VEHICLES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18432887 titled 'SAFETY PROCEDURE ANALYSIS FOR OBSTACLE AVOIDANCE IN AUTONOMOUS VEHICLES
Simplified Explanation
The patent application describes a method for determining a set of points representing a volume in an environment occupied by a vehicle, generating trajectories for the vehicle and objects in the environment, and determining safety procedures based on the intersection of these trajectories to avoid collisions.
- Vehicle-occupied trajectory and object-occupied trajectory are generated in the environment.
- Intersection between the vehicle-occupied trajectory and object-occupied trajectory is determined to avoid collisions.
- Safety procedures are executed by the vehicle based on the intersection to prevent collisions.
Potential Applications
This technology can be applied in autonomous vehicles, drones, and robotics to enhance safety and collision avoidance capabilities.
Problems Solved
This technology solves the problem of potential collisions between vehicles and objects in dynamic environments.
Benefits
The benefits of this technology include improved safety, reduced risk of accidents, and enhanced decision-making capabilities for vehicles in complex environments.
Potential Commercial Applications
Potential commercial applications of this technology include autonomous vehicles, drone delivery services, warehouse robotics, and industrial automation systems.
Possible Prior Art
One possible prior art for this technology could be collision avoidance systems in autonomous vehicles and drones that use similar trajectory analysis to prevent accidents.
Unanswered Questions
How does this technology handle unpredictable movements of objects in the environment?
This technology may need to incorporate real-time data and advanced algorithms to adapt to sudden changes in object trajectories and ensure effective collision avoidance.
What are the limitations of this technology in highly congested environments?
This technology may face challenges in crowded spaces where multiple objects are moving simultaneously, requiring further research and development to optimize performance in such scenarios.
Original Abstract Submitted
In various examples, a current claimed set of points representative of a volume in an environment occupied by a vehicle at a time may be determined. A vehicle-occupied trajectory and at least one object-occupied trajectory may be generated at the time. An intersection between the vehicle-occupied trajectory and an object-occupied trajectory may be determined based at least in part on comparing the vehicle-occupied trajectory to the object-occupied trajectory. Based on the intersection, the vehicle may then execute the first safety procedure or an alternative procedure that, when implemented by the vehicle when the object implements the second safety procedure, is determined to have a lesser likelihood of incurring a collision between the vehicle and the object than the first safety procedure.
