Autonomous Vehicle Virtual Lane Navigation in Adverse Weather
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Solution Overview
Problem
Existing autonomous vehicle technologies struggle to generate and follow a virtual lane in adverse weather conditions or when lane identification is difficult, leading to impaired autonomous driving capabilities.
Innovation Solution
An autonomous vehicle method that involves transmitting a request signal via a wireless network to receive location parameters from adjacent road facilities, generating a virtual lane based on these parameters, and autonomously traveling along the generated virtual lane.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicle uses camera and sensor to identify lane, then autonomous driving can operate under normal conditions, but autonomous driving becomes impossible in bad weather conditions such as heavy rain and heavy snow
Solution Approach 1:
The patent introduces road facilities (such as roadside units or infrastructure devices) as intermediaries between the autonomous vehicle and the lane information. These road facilities transmit location parameters of the lane to the vehicle, serving as a reliable communication bridge that bypasses the need for visual lane identification through cameras and sensors, thereby resolving the contradiction between autonomous driving capability and adverse weather conditions.
Solution Approach 2:
The patent replaces the optical-mechanical lane identification system (cameras and sensors detecting visual lane markings) with an electromagnetic communication system. Instead of using cameras to visually identify lanes, the vehicle receives lane location parameters through wireless communication from road facilities, substituting the mechanical/optical detection method with an electronic communication method that is not affected by weather conditions.
2Measurement precision
If autonomous vehicle relies on lane identification, then virtual lane generation is accurate under good conditions, but virtual lane generation fails when lane identification is difficult
Solution Approach 1:
Road facilities act as intermediaries that provide direct lane location parameter information to the autonomous vehicle. This intermediary system ensures that the vehicle can generate virtual lanes with high accuracy by receiving precise location data from infrastructure, rather than relying on its own sensors that may fail in adverse conditions, thus maintaining both measurement precision and adaptability.
Solution Approach 2:
The road facilities pre-establish and maintain lane location parameter information in advance, so that when the autonomous vehicle needs lane information, it can immediately receive accurate data without needing to perform difficult real-time identification. This preliminary preparation of information ensures both accuracy and operational capability in adverse conditions.
Data Source
AI summary
The present invention relates to a method in which an autonomous vehicle generates a virtual lane on the basis of location parameters of road facilities, and travels along the generated virtual lane. A travel method of an autonomous vehicle according to an embodiment of the present invention is a travel method by which the autonomous vehicle autonomously travels along a virtual lane, the travel method including: a step for transmitting a request signal through a wireless network; a step for receiving location parameters of nearby road facilities from the road facilities in response to the request signal; a step for generating a virtual lane on the basis of the received location parameters; and a step for autonomously traveling along the generated virtual lane.