18602802. BEHAVIOR PLANNING FOR AUTONOMOUS VEHICLES IN YIELD SCENARIOS simplified abstract (NVIDIA Corporation)

BEHAVIOR PLANNING FOR AUTONOMOUS VEHICLES IN YIELD SCENARIOS

Organization Name

NVIDIA Corporation

Inventor(s)

Fangkai Yang of Seattle WA (US)

David Nister of Bellevue WA (US)

Yizhou Wang of San Ramon CA (US)

Rotem Aviv of San Diego CA (US)

Julia Ng of San Jose CA (US)

Birgit Henke of Seattle WA (US)

Hon Leung Lee of Bellevue WA (US)

Yunfei Shi of Santa Clara CA (US)

BEHAVIOR PLANNING FOR AUTONOMOUS VEHICLES IN YIELD SCENARIOS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18602802 titled 'BEHAVIOR PLANNING FOR AUTONOMOUS VEHICLES IN YIELD SCENARIOS

Simplified Explanation: The patent application discusses a system where a first vehicle is provided with a wait element that determines a path for the vehicle to yield to a second vehicle in a yield area. The system calculates trajectories for both vehicles to avoid conflicts and ensure safe operation.

• Key Features and Innovation:

   - System for determining paths for vehicles in a yield scenario
   - Calculation of trajectories based on vehicle locations and paths
   - Detection of conflicts between trajectories to ensure safe operation

• Potential Applications:

   - Autonomous vehicles
   - Traffic management systems
   - Collision avoidance technology

• Problems Solved:

   - Ensuring safe interaction between vehicles in a yield scenario
   - Preventing conflicts and collisions in traffic situations

• Benefits:

   - Improved safety on the roads
   - Efficient traffic flow
   - Enhanced coordination between vehicles

• Commercial Applications:

   - Implementation in autonomous vehicles for safer navigation
   - Integration into traffic control systems for optimized flow

• Prior Art:

   - Prior research on vehicle trajectory calculation in traffic scenarios
   - Studies on collision avoidance systems in autonomous vehicles

• Frequently Updated Research:

   - Ongoing developments in autonomous vehicle technology
   - Research on traffic management systems and safety measures

Questions about vehicle trajectory calculation in traffic scenarios:

1. How does the system determine the trajectories for multiple vehicles in a yield scenario?

   - The system calculates trajectories based on the locations of the vehicles and the paths provided by the wait element.

2. What are the potential applications of this technology beyond traffic management?

   - This technology could be applied in various fields such as robotics, logistics, and urban planning for efficient movement of entities.

Original Abstract Submitted

In various examples, a yield scenario may be identified for a first vehicle. A wait element is received that encodes a first path for the first vehicle to traverse a yield area and a second path for a second vehicle to traverse the yield area. The first path is employed to determine a first trajectory in the yield area for the first vehicle based at least on a first location of the first vehicle at a time and the second path is employed to determine a second trajectory in the yield area for the second vehicle based at least on a second location of the second vehicle at the time. To operate the first vehicle in accordance with a wait state, it may be determined whether there is a conflict between the first trajectory and the second trajectory, where the wait state defines a yielding behavior for the first vehicle.