V2V V2I Lane Boundary Estimation for Adverse Weather
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Solution Overview
Problem
Current lane boundary detection and tracking technologies, particularly vision-based systems, face challenges in high traffic scenarios and adverse environmental conditions, limiting their effectiveness and availability for lane departure warning systems.
Innovation Solution
The use of Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication systems for lane boundary estimation and host vehicle position determination, which involves data fusion from vehicle positions, path history, and map database geometrical shapes to establish virtual lane boundaries, even in conditions where vision systems are impaired.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vision-based systems are used for lane boundary detection, then the system can provide lane boundary information in normal conditions, but the system reliability deteriorates in high traffic scenarios and adverse environmental conditions
Solution Approach 1:
The patent introduces V2V and V2I communication systems as intermediary components that enable vehicles and infrastructure to share lane boundary information. This mediator approach allows the host vehicle to obtain lane boundary data from other vehicles or road side equipments without relying solely on vision-based detection, thereby maintaining reliability in adverse environmental conditions where vision systems fail
Solution Approach 2:
The patent combines multiple information sources including V2V communication data, V2I communication data, and traditional vision-based detection into a fused lane boundary estimation system. This merging of multiple data streams creates a more robust system that maintains reliability across diverse operating conditions by compensating for the weaknesses of individual detection methods
2Measurement precision
If vision-based systems are used for lane boundary detection, then the system structure remains simple, but the measurement precision deteriorates in challenging environments
Solution Approach 1:
The patent implements a multi-functional communication system that serves multiple purposes: vehicle-to-vehicle communication for sharing lane boundary data, vehicle-to-infrastructure communication for receiving road marker information, and data fusion for enhanced measurement precision. This universal system architecture achieves high measurement precision across various scenarios while managing complexity through integrated design
3Reliability
If V2V and V2I communication systems are used for lane boundary estimation, then the reliability in adverse conditions is improved, but the device complexity increases
Solution Approach 1:
The patent implements preliminary action by establishing communication links with nearby vehicles and infrastructure elements before the host vehicle actually needs lane boundary information. This advance data collection and pre-processing enables the system to quickly provide reliable lane boundary estimates when vision systems fail, improving availability while managing complexity through proactive system preparation
Data Source
AI summary
Lane Boundary Estimation and Host Vehicle Position and Orientation, within the host lane estimation, using V2V (vehicle to vehicle) system, are discussed here. Lane boundary detection and tracking is essential for many active safety/ADAS application. The lane boundary position enables the tracking of the host vehicle position and orientation inside the lane. It also enables classifying in-lane, adjacent lanes, and other lanes vehicles. These two functionalities (lane boundary estimation and vehicle lane classifications) enable active safety applications (such as LDW, FCW, ACC, or BSD). It also enables the lateral control of the vehicle for lane keeping assist system, or for full lateral control for automated vehicle (automated for one or multiple lane changes).