Own Position Inferring Device Dynamic Point Group Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional own position inferring devices lack robustness in position matching due to varying travel environments, leading to decreased accuracy in detecting white line positions at long distances from the vehicle, as they do not account for changes in point group information extraction conditions.
Innovation Solution
An own position inferring device that includes a sensor white line detection unit, point group extraction units, and a point group extraction condition changing unit, which adjusts the extraction conditions based on travel environment and sensor data to enhance position matching accuracy, using algorithms like ICP for precise vehicle and white line position detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If point group information is extracted from white line positions detected by an object detection sensor to perform position matching, then the quantity of point group information increases which leads to higher accuracy of position matching, but the accuracy of position detection decreases when the white line position is detected with low accuracy due to travel environment factors such as occlusion or weather
Solution Approach 1:
The patent dynamically changes the extraction condition parameter (distance from own vehicle) based on the detected travel environment. When occlusion or adverse weather is detected, the system adjusts the distance parameter to exclude low-quality point group information from positions where detection accuracy is compromised, thereby maintaining reliable position matching despite environmental variations
Solution Approach 2:
The patent introduces dynamic adaptation by continuously monitoring travel environment conditions and adjusting the point group extraction conditions in real-time. The extraction condition changing unit modifies the distance parameter dynamically based on current environmental conditions, making the system adaptive rather than static, which resolves the contradiction between maximizing point quantity and maintaining detection quality
Data Source
AI summary
Conventionally, a method in which pieces of point group information for use in position matching between a white line position detected by an object detection sensor and a white line position on a map are extracted from the white line positions according to a travel environment, has not been taken into account. In the present disclosure, a point group extraction condition is changed according to change in the travel environment so that: a process of position matching that exhibits robustness with respect to change in the travel environment can be realized; and an own position and a white line position existing at a long distance from an own vehicle can be detected with high accuracy.