Vehicle Control Using Risk Map for Roadside Hazard Detection
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Solution Overview
Problem
Autonomous driving systems face safety challenges due to the inability to detect potential dangers from roadside areas, such as pedestrians or obstacles, which can lead to accidents.
Innovation Solution
A vehicle control method and apparatus that utilize a preset risk map to identify risky road segments and control the vehicle's driving state, such as decelerating or stopping, when approaching these areas by comparing real-time driving information with the map, thereby enhancing safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the autonomous driving system only monitors the road surface, then the navigation efficiency is improved, but the detection of potential dangers from roadside areas deteriorates
Solution Approach 1:
The patent extends the monitoring scope from the traditional two-dimensional road surface to a three-dimensional space that includes roadside areas. The risk map encompasses not only the road surface but also roadside regions within a preset distance, enabling the system to detect potential dangers in previously unmonitored spatial dimensions while maintaining navigation efficiency.
2Difficulty of detecting and measuring
If the vehicle expands monitoring coverage to include roadside areas, then the detection of potential dangers is improved, but the system complexity increases
Solution Approach 1:
The patent pre-generates a risk map that includes roadside areas before the actual driving process. By performing the complex computation of expanding monitoring zones and identifying potential dangers in advance, the system avoids real-time computational complexity during driving while maintaining enhanced detection capabilities through the pre-computed risk map.
3Reliability
If the vehicle decelerates or stops frequently to avoid risks, then the driving safety is improved, but the driving efficiency deteriorates
Solution Approach 1:
The system performs preliminary risk assessment by comparing the vehicle's planned trajectory with the pre-computed risk map before entering risky areas. By identifying potential dangers in advance and preparing appropriate responses, the system can make smoother, more planned deceleration or stopping decisions rather than reactive emergency responses, thereby maintaining better driving efficiency while ensuring safety.
Data Source
AI summary
The present disclosure provides a vehicle control method, including: acquiring current driving information of a vehicle; determining, according to the current driving information and a preset risk map, whether the vehicle drives to a risky road segment; and controlling a driving state of the vehicle accordingly when it is determined that the vehicle drives to the risky road segment. By presetting a risk map, defining road and roadside risky areas in the map, defining risky road segments of roads according to the road and roadside risky areas, determining in real time, whether the vehicle drives to a risky road segment, and controlling a driving state of the vehicle when it is determined that the vehicle drives to the risky road segment, so as to avoid risks that the risky areas cause to the driving of the vehicle, the driving safety of the vehicle can be effectively improved.