Autonomous Vehicle MRM Stopping Around Road Structures
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Solution Overview
Problem
Conventional autonomous driving systems fail to consider longitudinal road structures and adverse weather conditions, leading to unsafe stopping methods that violate legal regulations and increase collision risks, especially in urban environments.
Innovation Solution
An electronic device that includes a sensor module, memory, and processor to recognize road structures and static objects, determining a stopping method based on map data to execute a minimum risk maneuver (MRM) that considers both lateral and longitudinal road features and weather conditions, allowing selective vehicle stopping methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional MRM systems perform emergency stopping without considering longitudinal road structures, then the response speed is improved, but the safety and legal compliance deteriorate
Solution Approach 1:
The system performs preliminary recognition of longitudinal road structures (stop lines, crosswalks, intersections) before executing the MRM stopping maneuver. By提前 identifying these road features using map data and sensor information, the system can plan a stopping trajectory that avoids illegal stopping locations, thereby maintaining both rapid response and safety compliance.
Solution Approach 2:
The system introduces an intermediate decision-making layer that mediates between the emergency stopping command and the physical execution. This layer evaluates longitudinal road structure data to determine the optimal stopping position, acting as an intermediary that reconciles the conflict between rapid response and legal compliance by selecting appropriate stopping locations.
2Reliability
If MRM systems consider both lateral and longitudinal road structures, then the safety is improved, but the system complexity increases
Solution Approach 1:
The system merges the recognition of lateral road structures (lanes, shoulders) with longitudinal road structures (stop lines, crosswalks, intersections) into a unified MRM decision-making framework. By combining these previously separate considerations into an integrated system that processes both dimensions simultaneously, the patent achieves comprehensive safety without proportionally increasing complexity, as the merging allows shared processing resources and coordinated decision-making.
Solution Approach 2:
The system implements a universal MRM control architecture that handles multiple road structure types (lateral and longitudinal) and various stopping scenarios through a single integrated decision-making process. This multi-functional approach allows the same system to adapt to different road configurations and stopping requirements without requiring separate specialized subsystems for each case.
3Ease of operation
If MRM stopping is performed without considering adverse weather conditions, then the operational simplicity is maintained, but the recognition and control performance deteriorate
Solution Approach 1:
The system applies local quality adjustment by modifying the MRM stopping strategy according to local weather conditions. When adverse weather (rain, snow, fog) is detected, the system adjusts recognition parameters and control parameters locally for that specific operating condition, such as increasing stopping distance or adjusting deceleration rates, rather than using a uniform approach for all conditions.
Data Source
AI summary
Provided is an electronic device including: a sensor module; a memory storing map data; and a processor functionally connected to the sensor module and the memory, wherein, when it is determined to execute a minimum risk maneuver (MRM) mode during autonomous driving, the processor recognizes a road structure and a static road object at a current location and a forward area from the current location based on the sensor module and map data, and determines a stopping method of the MRM mode according to a result of the recognition of the road structure and the static road object, and stops the vehicle with the determined stopping method.