WAVE-Based Surrounding Vehicle Recognition System
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Solution Overview
Problem
Existing vehicle recognition systems face challenges in accurately sensing surrounding vehicles, especially in adverse weather conditions or complex road environments like intersections and curved roads, due to limitations in camera and sensor technologies.
Innovation Solution
A system and method using wireless access for vehicular environment (WAVE) to generate a vehicle map with coordinates of surrounding vehicles, estimate lane information based on path information, and determine the locations of surrounding vehicles, enabling efficient recognition through data exchange and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If camera or sensor-based lane sensing is used, then lane recognition is possible in clear weather, but surrounding vehicles cannot be sensed properly in adverse weather conditions or complex road environments
Solution Approach 1:
The patent combines multiple sensing approaches (camera-based lane sensing, sensor-based detection, and WAVE communication) into an integrated system. The WAVE module receives surrounding vehicle information from other vehicles, while the camera captures lane information, and these data sources are merged to compensate for each other's weaknesses in adverse conditions
Solution Approach 2:
The patent introduces WAVE communication as an intermediary mechanism that enables vehicles to share positional and operational data. This intermediary system allows vehicles to be detected through communication protocols rather than direct optical or sensor detection, bypassing the limitations of camera-based systems in poor weather
2Measurement precision
If traditional sensors are used, then vehicle detection is possible within limited range, but surrounding vehicles cannot be recognized at intersections or curved roads without visible lane markings
Solution Approach 1:
The system makes the vehicle recognition system universal by enabling it to operate effectively across diverse road environments (straight roads, curved roads, intersections) and weather conditions. The WAVE-based approach provides a unified solution that works regardless of whether lane markings are visible or the weather is favorable
Solution Approach 2:
The patent transitions from two-dimensional camera-based visual detection to a multi-dimensional approach by incorporating WAVE communication data that provides positional information in longitudinal, lateral, and vertical dimensions, enabling detection beyond the camera's field of vision
3Illumination intensity
If camera-based lane sensing is used, then lane information can be captured in good lighting, but direct sunlight illumination prevents lane sensing
Solution Approach 1:
The system changes the detection parameter from optical intensity (camera-based) to communication signal presence (WAVE-based). This parameter change allows the system to detect vehicles regardless of lighting conditions, as WAVE communication signals are not affected by sunlight or darkness
Data Source
AI summary
A method for a surrounding vehicle recognition system to recognize a surrounding vehicle includes generating a vehicle map showing coordinates of one or more vehicles surrounding a host vehicle with respect to a current location of the host vehicle based on path information of the host vehicle and the surrounding vehicles, generating lane information on the vehicle map based on the current location and radius-of-curvature information of the host vehicle and the path information of the host vehicle and the surrounding vehicles, determining locations of the surrounding vehicles based on the generated lane information, and selecting recognizable surrounding vehicles based on the locations of the surrounding vehicles.