Periphery Recognition Device Sensor Feedback
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Solution Overview
Problem
Conventional periphery recognition systems face increased processing load and decreased measurement accuracy when objects move between long-distance and short-distance camera regions, leading to higher non-recognition or erroneous recognition rates at boundary regions.
Innovation Solution
A periphery recognition device comprising a first sensor for long-distance detection, a second sensor with a wider angle for short-distance detection, and an information linkage unit that transfers data between long-distance and short-distance object recognition units to minimize processing load and reduce non-recognition or erroneous recognition of objects moving between regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If object recognition processing is performed for every candidate object entering the detection region, then recognition accuracy is improved, but processing load increases
Solution Approach 1:
The system performs preliminary actions by transferring object information between recognition units before full recognition processing is needed. When an object moves between detection regions, the destination recognition unit receives advance information about the object from the source unit, preparing for efficient recognition without redundant processing.
Solution Approach 2:
The system implements feedback by having recognition units exchange object information with each other. When an object is recognized in one detection region, this information is fed back to adjacent recognition units, enabling them to continue tracking and recognizing the object as it moves, thereby reducing processing load while maintaining accuracy.
2Reliability
If object recognition is performed in boundary regions, then non-recognition rate is reduced, but processing complexity increases
Solution Approach 1:
The system merges recognition efforts across multiple recognition units by sharing object information in boundary regions. When an object approaches or is in a boundary region, adjacent recognition units exchange information about the object, combining their detection capabilities to maintain reliable recognition without requiring one unit to handle the entire complex task alone.
Solution Approach 2:
The information transfer mechanism acts as an intermediary between recognition units in boundary regions. Instead of each unit independently struggling to recognize objects in overlapping regions, the intermediary information exchange enables coordinated recognition, reducing processing complexity while improving reliability.
3Area of stationary object
If multiple sensors cover overlapping regions, then detection coverage is improved, but measurement accuracy decreases at boundaries
Solution Approach 1:
The system applies local quality by having different recognition units specialize in different detection regions (long-distance vs. wide-angle short-distance). Each unit optimizes its recognition processing for its specific region, and information is transferred between units at boundaries, allowing each to maintain high measurement accuracy for its local area while collectively providing comprehensive coverage.
Data Source
AI summary
Provided is a periphery recognition device that makes it possible to: minimize the load from object recognition processing for recognizing an object moving between one region covered by a long-distance sensor and/or a wide-angle short-distance sensor to another such region; the periphery recognition device being able to reduce the proportion of non-recognition or erroneous recognition of objects moving from a region covered by the long-distance sensor or the wide-angle short-distance sensor to a boundary region. There is provided a first sensor 11a, a second sensor 11b, a long-distance object recognition unit 13 for recognizing an object present in a long-distance area on the basis of three-dimensional long-distance data calculated on the basis of situation data acquired using the first sensor 11a, a short-distance object recognition unit 14 for recognizing an object present in a wide-angle and short-distance area on the basis of three-dimensional wide-angle short-distance data calculated on the basis of situation data acquired using the second sensor 11b, and a feedback unit 15 for transferring information relating to the objects between the long-distance object recognition unit 13 and the short-distance object recognition unit 14.