Waymo llc (20240355199). DETECTING SAFETY-RELEVANT ROAD TRAFFIC CONFLICTS simplified abstract
Contents
DETECTING SAFETY-RELEVANT ROAD TRAFFIC CONFLICTS
Organization Name
Inventor(s)
Johan Engstrom of Los Gatos CA (US)
Francesca Margherita Favaro of Los Gatos CA (US)
Azadeh Dinparastdjadid of Sunnyvale CA (US)
Shuyuan Liu of San Jose CA (US)
John Michael Scanlon of Burlingame CA (US)
Trent William Victor of London (GB)
DETECTING SAFETY-RELEVANT ROAD TRAFFIC CONFLICTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240355199 titled 'DETECTING SAFETY-RELEVANT ROAD TRAFFIC CONFLICTS
Simplified Explanation: The patent application describes methods, systems, and apparatus for automatically identifying safety-relevant traffic conflicts in a driving environment by analyzing data representing traffic scenarios involving multiple agents.
- Key Features and Innovation:
* Receiving data representing traffic scenarios involving two agents. * Computing safety-relevant and surprise metrics for different time points of the traffic scenario. * Designating a traffic scenario as a safety-relevant traffic conflict when the surprise metric satisfies a surprise threshold within a threshold time window of the safety-relevant metric meeting a safety-relevant threshold.
Potential Applications: This technology could be applied in autonomous vehicles, traffic management systems, and driver assistance systems to enhance safety by identifying potential conflicts between vehicles on the road.
Problems Solved: This technology addresses the challenge of efficiently detecting safety-relevant traffic conflicts in complex driving environments, improving overall road safety and reducing the risk of accidents.
Benefits: The benefits of this technology include improved safety on the roads, enhanced decision-making capabilities for autonomous vehicles, and better coordination between different agents in a driving environment.
Commercial Applications: Potential commercial applications of this technology include integrating it into autonomous vehicles, traffic control systems, and fleet management solutions to enhance safety and efficiency on the roads.
Prior Art: Readers interested in exploring prior art related to this technology can start by researching patents and publications in the fields of autonomous vehicles, traffic management, and artificial intelligence.
Frequently Updated Research: Researchers in the fields of autonomous vehicles and artificial intelligence are continuously working on improving algorithms and systems for identifying and mitigating safety risks in driving environments.
Questions about Safety-Relevant Traffic Conflict Detection: 1. How does this technology contribute to improving road safety? 2. What are the potential challenges in implementing this technology in real-world driving scenarios?
Original Abstract Submitted
methods, systems, and apparatus, including computer programs encoded on computer storage media, for automatically designating traffic scenarios as safety-relevant traffic conflicts between agents in a driving environment. one of the methods includes receiving data representing a traffic scenario involving two agents; computing a safety-relevant metric for a first plurality of time points of the traffic scenario; computing a surprise metric for a second plurality of time points of the traffic scenario; determining that the surprise metric satisfies a surprise threshold within a threshold time window of the safety-relevant metric satisfying a safety-relevant threshold; and in response, designating the traffic scenario as a safety-relevant traffic conflict.
