3D Map Obstacle Detection for Recognition Sensor Sightlines
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing recognition processes using recognition sensors are hindered by obstacles in the environment, such as branches and leaves, which are difficult to identify and remove efficiently, leading to decreased accuracy in recognizing targets like traffic signals.
Innovation Solution
A management system and map generation system that utilize three-dimensional map data to define specific spaces between recognition targets and sensors, enabling accurate detection and removal of obstacles within these defined spaces, thereby ensuring a favorable environment for recognition processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all objects in the environment are removed to ensure recognition accuracy, then recognition accuracy is improved, but unnecessary objects are also removed reducing efficiency
Solution Approach 1:
The patent segments the environment into a specific space between the recognition sensor and recognition target, and removes objects only from this segmented region. This resolves the contradiction by limiting object removal to only the necessary area, maintaining recognition accuracy while avoiding unnecessary removal of objects outside the specific space.
Solution Approach 2:
The patent applies different treatment to different spatial regions: objects within the specific space are removed to ensure recognition accuracy, while objects outside this space are preserved. This local differentiation resolves the contradiction by optimizing recognition accuracy only where needed without unnecessarily affecting other areas.
2Measurement precision
If the specific space is defined precisely between sensor and target, then obstacle detection accuracy is improved, but system complexity increases
Solution Approach 1:
The patent introduces a spatial dimension by defining a specific three-dimensional space between the recognition sensor and recognition target. This resolves the contradiction by providing precise obstacle detection through spatial positioning while maintaining manageable system complexity through clear geometric boundaries.
Data Source
AI summary
A management system manages an environment of a predetermined area. In the predetermined area, there are a recognition sensor configured to recognize a surrounding situation and a recognition target to be recognized by the recognition sensor present at a specific position. Three-dimensional map data of the predetermined area include specific space information indicating a specific space that is a space between the specific position and the recognition target. Recognition result information indicates a result of recognition by the recognition sensor present at the specific position. The management system determines whether an object not included in the specific space in the three-dimensional map data is included in the specific space in the recognition result information. The management system detects, as a removal target, the object not included in the specific space in the three-dimensional map data but is included in the specific space in the recognition result information.