Intersection Driving Assistance Using V2V Obstacle Detection
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Solution Overview
Problem
Existing driving assistance systems face challenges in accurately detecting forward obstacles, particularly when visibility is poor or when using in-vehicle cameras or millimeter-wave radars, leading to potential incorrect speed maintenance instructions and increased collision risks.
Innovation Solution
The system employs vehicle-to-vehicle and road-to-vehicle communication to determine the presence of forward obstacles, assessing collision possibilities and preventing speed maintenance instructions if a collision is likely, thereby ensuring safe driving by outputting deceleration instructions instead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If in-vehicle cameras or millimeter-wave radars are used to detect forward obstacles, then the system can provide speed maintenance instructions to help vehicles pass through intersections without stopping, but the detection accuracy deteriorates under poor visibility conditions leading to increased collision risks
Solution Approach 1:
The patent introduces V2V communication as an intermediary information source to supplement or replace direct sensor detection. By receiving obstacle information from other vehicles through communication protocols, the system overcomes the limitations of camera and radar detection in poor visibility conditions, maintaining both intersection passage efficiency and detection reliability
Solution Approach 2:
The system integrates multiple information acquisition methods (camera, radar, V2V communication) into a unified obstacle detection framework. This multi-functional approach allows the system to adapt to different environmental conditions and select the most reliable data source, ensuring accurate obstacle detection regardless of visibility conditions while maintaining speed maintenance instruction capability
2Ease of operation
If the system outputs speed maintenance instructions based on current detection accuracy, then vehicles can maintain optimal speed for smooth intersection passage, but incorrect instructions may be given when detection is inaccurate increasing collision risk
Solution Approach 1:
The system implements a feedback mechanism where obstacle information from V2V communication is continuously integrated with sensor data to validate and correct detection results. This feedback loop ensures that speed maintenance instructions are based on accurate, verified obstacle information, preventing incorrect instructions that could lead to collisions while maintaining driving smoothness
Solution Approach 2:
The system performs preliminary verification of obstacle detection by cross-referencing sensor data with V2V communication information before issuing speed maintenance instructions. This preliminary action ensures that instructions are only given when obstacle presence is confirmed through multiple sources, reducing collision risk while maintaining ease of operation
Data Source
AI summary
A speed maintenance instruction is output when a vehicle enters a next intersection and a predetermined condition is satisfied. It is determined whether a forward obstacle is disposed between the vehicle and the next intersection. A possibility of collision with the forward obstacle is determined if the forward obstacle is disposed between the vehicle and the next intersection and the vehicle maintains a current vehicle speed. When the possibility of collision is determined, the speed maintenance instruction is not output even if the predetermined condition is satisfied.