Driverless Vehicle Stop Control Using Road Surface Detection
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Solution Overview
Problem
Current self-driving vehicle technologies lack effective methods to determine suitable road surface conditions for stopping, which can lead to inefficient or unsafe vehicle stop operations, particularly when receiving stop instructions or arriving at preset positions.
Innovation Solution
A method and apparatus for a driverless vehicle that acquires a road surface image using cameras mounted on the vehicle, performs feature extraction, and determines the target road surface state by matching the image with a preset database or cloud server, deciding whether to stop based on the road surface condition, thereby improving vehicle stop control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driverless vehicle stops directly at the fixed location or under passenger instruction without checking road surface conditions, then the stopping operation is simple and fast, but the safety and effectiveness of vehicle stop control deteriorates
Solution Approach 1:
The system performs preliminary road surface detection before executing the stop command. The camera captures road surface images and the processor analyzes them to determine suitability for stopping, ensuring safe stop conditions are met before the vehicle actually stops, thereby improving reliability without significantly increasing operational complexity
Solution Approach 2:
The road surface detection system acts as an intermediary between the stop command and the actual stopping action. The camera and image processing system serve as mediators that evaluate road conditions and provide feedback to the control system, enabling informed stop decisions while maintaining a clear separation between command reception and execution
2Reliability
If the driverless vehicle acquires road surface images and analyzes road surface state before stopping, then the vehicle stop control effectiveness is improved, but the stopping time and processing time increases
Solution Approach 1:
The system performs road surface detection and analysis as a preliminary step before stopping. By capturing and analyzing road surface images in advance, the system ensures that stop decisions are based on accurate road condition information, improving reliability while allowing the actual stopping process to proceed efficiently once the assessment is complete
Solution Approach 2:
The system replaces complex mechanical road testing methods with optical detection using cameras and image processing. This substitution enables rapid, non-contact assessment of road surface conditions, significantly reducing the time required for road evaluation compared to traditional mechanical probing or testing methods
Data Source
AI summary
A method and an apparatus of controlling a driverless vehicle and an electronic device are provided, and relates to the field of artificial intelligence technologies, such as computer vision and self-driving. The method includes: in a case that a stop instruction is received or a driverless vehicle arrives at a preset position, acquiring a first road surface image captured by a camera of the driverless vehicle that is on a same side of a door of the driverless vehicle; acquiring, based on the first road surface image, a target road surface state of road surface on one or two sides of the driverless vehicle that are provided with a door; in a case that the target road surface state is a first road surface state, controlling the driverless vehicle to stop.