V2X Road Condition Determination Using Sensor Data Reliability
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Solution Overview
Problem
In autonomous driving, vehicles face limitations in recognizing and determining road conditions in real-time due to limitations in high-capacity, low-latency data sharing in V2X communication environments, leading to varying recognition results and potential errors, such as a following vehicle decelerating when it cannot see occluded traffic lights.
Innovation Solution
A method and system for determining road conditions by acquiring and analyzing sensor data, recognizing objects, receiving and determining the reliability of sensor data and object recognition results from external terminals through V2X communication, and using this information to control vehicle driving, including measuring reception delay times and object recognition rates to impart reliability to the data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicles use their own sensors and algorithms to recognize objects, then each vehicle can independently determine road conditions, but recognition results vary by vehicle and errors occur due to occlusion or individual algorithm limitations
Solution Approach 1:
The patent merges sensor data and object recognition results from multiple vehicles through V2X communication to create a collective understanding of road conditions. By combining data from surrounding vehicles, infrastructure, and pedestrians, the system achieves more reliable and comprehensive object recognition that overcomes individual vehicle limitations such as occlusion.
2Loss of information
If high-capacity data is transmitted through V2X communication, then more information can be shared between vehicles, but transmission latency increases and real-time recognition is limited
Solution Approach 1:
The patent extracts only the essential and most relevant features from sensor data and object recognition results for transmission through V2X communication. By selecting and transmitting only critical information rather than complete raw data, the system maintains information completeness while reducing transmission latency and bandwidth requirements.
3Measurement precision
If a following vehicle relies on its own sensors to detect traffic lights, then it maintains independent detection capability, but it cannot see occluded traffic lights and may erroneously decelerate
Solution Approach 1:
The patent uses V2X communication as an intermediary to transmit traffic light information from surrounding vehicles or infrastructure to the following vehicle. This intermediary channel allows the following vehicle to receive information about occluded traffic lights that its own sensors cannot detect, thereby eliminating the harmful occlusion effect.
Data Source
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AI summary
There is provided a method for determining road conditions by sharing sensor data and object recognition results in a V2X communication environment. According to an embodiment, a road condition determination method may acquire sensor data, may recognize objects by analyzing the acquired sensor data, may receive sensor data and object recognition results from external terminals, may determine reliability on the received object recognition results and sensor data, and may determine road conditions, based on the acquired sensor data and object recognition results and object recognition results and sensor data which are given reliability. Accordingly, road conditions may be exactly determined by sharing sensor data and object recognition results in a V2X environment, so that autonomous driving performance may be enhanced, and it is determined whether sensor data and object recognition results received from an outside are utilized in determining road conditions, by determining reliability on the sensor data and the object recognition results, so that accuracy of determination of road conditions may be more enhanced.