Autonomous Vehicle Remote Path Alignment for Coordinate Mismatch
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Solution Overview
Problem
Autonomous vehicles face challenges in maintaining a correct driving path during remote control situations due to mismatched reference point coordinates and path data, leading to potential accidents and difficulties in following the intended path.
Innovation Solution
An autonomous vehicle system that includes a processor to transmit vehicle path information, request remote control, and receive corrected paths, comparing reference point coordinates and path data with a precision map coordinate system to ensure accuracy and drivability, and control the vehicle to follow the corrected path.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle receives a corrected path from the control system during remote control, then the vehicle can be guided to the destination, but errors in reference point coordinates and path data may cause the vehicle to deviate from the intended path
Solution Approach 1:
The vehicle compares the reference point coordinates of the corrected path with the precision map coordinates, and compares path data before and after the current position. This feedback mechanism detects coordinate system mismatches and data errors, allowing the vehicle to identify when the corrected path does not align with the intended route and request retransmission of the path data.
Solution Approach 2:
The precision map coordinate system serves as an intermediary reference framework. By transforming and comparing the corrected path coordinates against the precision map, the system mediates between the control system's path correction and the vehicle's navigation, ensuring accurate path following even when coordinate systems differ.
2Reliability
If the vehicle stops when unable to follow the driving path during autonomous driving, then safety is maintained, but productivity is reduced due to unnecessary interruptions
Solution Approach 1:
The system continuously monitors path following status by comparing corrected path coordinates with precision map coordinates and analyzing path data consistency. This feedback allows the vehicle to distinguish between temporary path deviations and actual safety hazards, enabling continued operation when the path can be corrected through coordinate transformation rather than requiring unnecessary stops.
3Speed
If the vehicle directly follows the corrected path without verification, then response time is reduced, but measurement precision of path accuracy deteriorates
Solution Approach 1:
The system performs preliminary verification of the corrected path by comparing reference point coordinates with the precision map and checking path data consistency before the vehicle executes the path. This preliminary action detects coordinate system mismatches and data errors in advance, allowing the vehicle to request retransmission of corrected path data if errors are found, thus ensuring measurement precision while maintaining relatively fast response times.
Data Source
AI summary
The present disclosure relates to an autonomous vehicle and a remote control method therefor. An exemplary embodiment of the present disclosure provides an autonomous vehicle, including a processor configured to transmit a vehicle path to the control system to request remote control when the remote control of the autonomous vehicle is required, to receive a corrected path obtained by correcting the vehicle from the control system, and to determine errors in reference point coordinates and path data of the corrected path.