Nvidia corporation (20240217557). BEHAVIOR PLANNING FOR AUTONOMOUS VEHICLES IN YIELD SCENARIOS simplified abstract

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 20240217557 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 path to yield to a second vehicle in a yield area. The system determines trajectories for both vehicles based on their locations and checks for conflicts to ensure safe operation.

Key Features and Innovation:

• System for determining paths and trajectories for vehicles in a yield scenario
• Utilizes location data to calculate trajectories and avoid conflicts
• Promotes safe operation by defining yielding behavior for the first vehicle

Potential Applications: This technology could be applied in autonomous vehicles, traffic management systems, and intersection control systems.

Problems Solved:

• Ensures safe interaction between vehicles in a yield scenario
• Reduces the risk of collisions in high-traffic areas
• Improves overall traffic flow and efficiency

Benefits:

• Enhanced safety for vehicles and pedestrians
• Smoother traffic flow and reduced congestion
• Increased efficiency in traffic management

Commercial Applications: Potential commercial applications include integrating this technology into autonomous vehicle systems, traffic control infrastructure, and smart city initiatives to improve overall traffic safety and efficiency.

Prior Art: Prior art related to this technology may include research on autonomous vehicle interactions, traffic control algorithms, and collision avoidance systems.

Frequently Updated Research: Researchers may be exploring advancements in vehicle-to-vehicle communication systems, real-time trajectory calculations, and machine learning algorithms for improved decision-making in yield scenarios.

Questions about Yield Scenario Technology: 1. How does the system determine the trajectories for vehicles in a yield scenario? 2. What are the potential implications of integrating this technology into existing traffic management systems?

By providing a detailed and informative overview of the patent application, readers can gain a better understanding of the technology and its potential impact on various industries.

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.