V2V Wayfinding System for Lane Detection in Poor Visibility
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Solution Overview
Problem
Conventional driver assistance systems face challenges in lane detection and following when lane boundaries are missing, fragmented, or obscured, especially in construction zones, and rely on visual recognition of lead vehicles, which is unreliable in poor visibility conditions.
Innovation Solution
An automatic wayfinding method that uses position information from lead vehicles via V2V communication to construct a route for the first vehicle, allowing it to steer independently or assist the driver by determining its position relative to lane markings, even without visual contact with the lead vehicle, by combining received position information from multiple vehicles and using environment sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If visual recognition of lead vehicle is used for lane detection, then lane boundary detection can be achieved, but reliability deteriorates in poor visibility conditions
Solution Approach 1:
The patent introduces V2V communication as an intermediary mechanism to transfer position information from lead vehicles. Instead of directly observing the lead vehicle through cameras (which fails in poor visibility), the system uses wireless communication signals as a mediator to obtain position data, thereby resolving the contradiction between maintaining detection reliability and operating under poor visibility conditions.
Solution Approach 2:
The patent replaces the optical/mechanical camera-based detection system with an electronic communication-based system. By substituting the visual recognition mechanism (camera imaging) with V2V communication protocols, the system eliminates the dependency on visual conditions while maintaining the ability to detect lane boundaries through position information processing.
2Measurement precision
If position information from multiple lead vehicles is used to construct route, then route construction accuracy is improved, but device complexity increases
Solution Approach 1:
The patent merges position information from multiple lead vehicles into a single coherent route representation. By combining data from multiple sources and processing them together through curve fitting algorithms, the system achieves higher route construction accuracy while managing the complexity through unified processing rather than separate handling of each vehicle's data.
Solution Approach 2:
The patent creates a virtual copy of the road geometry by reconstructing the route from position information of lead vehicles. This copied geometric representation serves as a simplified model that captures the essential lane boundary information without requiring direct observation of physical lane markings, thereby improving accuracy while controlling processing complexity.
3Loss of time
If lead vehicle is followed at distance, then lane boundary recognition head start is gained, but error propagation increases with distance
Solution Approach 1:
The patent implements a feedback mechanism where the first vehicle continuously receives position information from lead vehicles and reconstructs the route in real-time. This continuous feedback loop allows the system to maintain an up-to-date geometric representation of the lane boundaries, compensating for distance-related errors through ongoing position updates rather than relying on a single initial observation.
Data Source
AI summary
An automatic wayfinding method for an ego or first vehicle is disclosed. The method includes receiving position information transmitted by at least one lead vehicle and constructing a route based on the received position information.