Robert bosch gmbh (20240346922). Method for Evaluating a Traffic Scene with Several Road Users simplified abstract

From WikiPatents
Revision as of 02:49, 18 October 2024 by Wikipatents (talk | contribs) (Creating a new page)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

Method for Evaluating a Traffic Scene with Several Road Users

Organization Name

robert bosch gmbh

Inventor(s)

Benjamin Coors of Stuttgart (DE)

Felix Schmitt of Ludwigsburg (DE)

Johannes Goth of Wildberg (DE)

Maximilian Naumann of Merzig (DE)

Reinis Cimurs of Stuttgart (DE)

Method for Evaluating a Traffic Scene with Several Road Users - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240346922 titled 'Method for Evaluating a Traffic Scene with Several Road Users

The method described in the patent application involves evaluating a traffic scene with multiple road users by recording data from the scene, representing the road users and their relationships in a parameterized graph, predicting the future development of the scene based on the current and past states of the road users, and providing the prediction results.

  • Input data is recorded from the traffic scene, specifying road users and their features based on current and past states.
  • The road users and their relationships are represented in a parameterized graph, with nodes representing users and edges specifying relationships.
  • The future development of the traffic scene is predicted considering the behavior of all road users based on the provided representation.
  • The method provides a result of the prediction, offering insights into the potential outcomes of the traffic scene.

Potential Applications: - Traffic management systems - Autonomous vehicle technology - Road safety analysis

Problems Solved: - Enhanced understanding of complex traffic scenarios - Improved prediction of traffic flow and potential incidents

Benefits: - Increased safety on the roads - Efficient traffic flow management - Enhanced decision-making for autonomous vehicles

Commercial Applications: Title: Advanced Traffic Scene Evaluation Technology for Smart Cities This technology can be utilized by traffic management authorities, autonomous vehicle manufacturers, and smart city developers to improve road safety, traffic flow, and overall transportation efficiency.

Questions about Traffic Scene Evaluation Technology: 1. How does this technology contribute to improving road safety?

  This technology enhances road safety by providing insights into potential traffic scenarios and enabling proactive measures to prevent accidents.

2. What are the key advantages of using a parameterized graph representation for evaluating traffic scenes?

  The parameterized graph representation allows for a structured and detailed analysis of road users and their relationships, leading to more accurate predictions and decision-making in traffic management.


Original Abstract Submitted

a method for evaluating a traffic scene with several road users includes (i) providing input data which results from recording of the traffic scene and which specifies the road users and associated features, the features being based at least in part on current and past states of the road users, (ii) providing a representation of the road users and their relationships to each other in the traffic scene and an infrastructure of the traffic scene, wherein the relationships are specified based on the features, wherein the infrastructure is represented by a parameterized representation, wherein the representation comprises a plurality of nodes of a graph representing the respective road users, and wherein the representation comprises a plurality of edges of the graph explicitly specifying the relationships of the road users to each other, (iii) predicting a future development of the traffic scene, wherein the prediction is performed taking into account the current and past states of the road users, wherein a behavior of all represented road users is predicted on the basis of the provided representation, and (iv) providing a result of the prediction.