Driving Corridor Association for Dynamic Object Lateral Motion
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Solution Overview
Problem
Current methods for environment detection in motor vehicles, particularly using image sensors, face challenges in accurately and robustly analyzing dynamic foreign objects relative to the vehicle's environment topology, leading to reduced safety and reliability in semiautonomous driving.
Innovation Solution
The method employs an image sensor to analyze the environment in the native measuring space, detecting dynamic behaviors of foreign objects and their kinematic variables within the driving corridor, reducing the need for transformations to three-dimensional coordinates and enhancing safety and robustness by using images and odometry data to ascertain the driving corridor and foreign object movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If transformations from native measuring space into three-dimensional coordinates are performed, then the analysis can be conducted in a standardized coordinate system, but errors and inaccuracies increase
Solution Approach 1:
Instead of transforming image data from native measuring space into three-dimensional coordinates as in conventional approaches, the patent inverts the approach by keeping all analysis operations within the native two-dimensional image plane coordinate system. This eliminates transformation errors and maintains measurement precision while improving reliability.
2Reliability
If dynamic behaviors of foreign objects are detected relative to environment topology, then safety is improved, but the computational effort increases
Solution Approach 1:
The patent extracts only the essential dynamic behavior information (lateral movement relative to driving corridor) from the full environment analysis, focusing computational effort on the most safety-critical aspects rather than processing all possible environmental data, thus improving safety while controlling complexity.
Solution Approach 2:
The patent analyzes foreign object movement in the lateral dimension relative to the driving corridor within the two-dimensional image plane, avoiding the need for complex three-dimensional spatial analysis while still capturing the essential dynamic behavior for safety assessment.
3Reliability
If the analysis is performed in the native measuring space of the image sensor, then transformations are omitted reducing errors, but the adaptation to other coordinate systems is limited
Solution Approach 1:
The patent makes the native measuring space analysis method universally applicable by demonstrating that all essential environment analysis functions (foreign object detection, driving corridor determination, dynamic behavior analysis) can be performed directly in the two-dimensional image plane coordinate system without requiring adaptation to three-dimensional coordinates, thus achieving both robustness and versatility.
Data Source
AI summary
A method for ascertaining a dynamic foreign object-driving corridor association with the aid of an image sensor of an ego vehicle, in which images of the environment of the ego vehicle are generated with the aid of the image sensor. A driving corridor of the ego vehicle is ascertained with the aid of the images in the native measuring space of the image sensor from roadway information and/or with the aid of the odometry of the ego vehicle, foreign objects are detected, and at least one kinematic variable is ascertained for at least one of the foreign objects, and at least one dynamic foreign object-driving corridor association for the lateral movement of the foreign object relative to the driving corridor is ascertained based on the at least one kinematic variable and the driving corridor.