Mobile Object Path Control Using Camera, Radar, and Map Matching
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Solution Overview
Problem
Conventional automated driving technologies face challenges in accurately identifying movement paths due to varying image recognition accuracy, leading to inappropriate movement control.
Innovation Solution
A mobile object control device that utilizes multiple recognizers (camera, radar, and map information) to determine and adjust movement paths based on the recognition accuracy of each, ensuring accurate path identification even when image recognition is unreliable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image recognition is used to identify movement paths, then the system can operate with simpler sensors, but the recognition accuracy varies with surrounding situations leading to unreliable path identification
Solution Approach 1:
The patent combines multiple recognition systems (image recognition and radar recognition) into a unified path identification system. The controller integrates results from both recognizers to determine movement paths, ensuring reliable identification even when one system fails or performs poorly under certain conditions.
Solution Approach 2:
The control system is designed to handle multiple recognition methods universally. The controller can switch between or combine image-based recognition and radar-based recognition depending on the situation, making the system adaptable to various surrounding conditions while maintaining consistent reliability.
2Measurement precision
If multiple recognizers are integrated to improve path identification accuracy, then the reliability of movement control increases, but the device complexity increases
Solution Approach 1:
The patent merges image recognition results and radar recognition results into a unified path identification process. The controller integrates data from both recognizers, comparing and combining their outputs to achieve higher measurement precision in identifying movement paths while managing the complexity through systematic integration.
3Reliability
If the system switches to radar-based path identification when image recognition fails, then the reliability of movement control is maintained, but the processing complexity increases
Solution Approach 1:
The control system dynamically switches between image-based recognition and radar-based recognition based on the surrounding situation and recognition accuracy. The controller adjusts the recognition method in real-time, maintaining reliable movement control while adapting to changing conditions through flexible, dynamic processing logic.
Data Source
AI summary
A mobile object control device includes a first recognizer configured to recognize a target and a first marking for defining a movement path located in a travel direction of a mobile object using an image captured by an imager, a second recognizer configured to recognize a second marking for defining a movement path near the mobile object from map information on the basis of position information of the mobile object, a third recognizer configured to recognize the target in the travel direction using a radar device, a determiner configured to determine whether or not the first and second markings match, and a movement controller configured to control movement of the mobile object on the basis of a determination result. When the third recognizer recognizes the target, the movement controller controls movement of the mobile object in accordance with the movement path identified on the basis of the recognized target.