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A Roadside Precision Monocular Measurement Technology for Vehicle-to-Everything (V2X)
Peng Sun1, Xingyu Qi1, Ruofei Zhong1
1College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China.
Sensors (Basel, Switzerland)
|September 14, 2024
Summary
This study introduces an automated system for precise vehicle distance detection using camera streams and edge computing. The technology enhances traffic safety by providing accurate data for smart transportation and holographic intersections.
Area of Science:
- Smart Transportation Systems
- Computer Vision for Traffic Analysis
- Edge Computing Applications
Background:
- Vehicle-to-Everything (V2X) communication is advancing, necessitating enhanced roadside sensing for "holographic intersections."
- Accurate, real-time roadside data is critical for V2X systems, collaborative perception, and decision-making.
- Current systems require improved methods for precise vehicle detection and distance estimation.
Purpose of the Study:
- To develop an automated scheme for accurate vehicle distance detection and warning using camera video streams.
- To leverage edge computing and neural networks for intelligent roadside data processing.
- To provide centimeter-level distance accuracy for enhanced traffic safety in smart transportation.
Main Methods:
- Utilized camera video streams for data acquisition.
- Implemented edge computing units for on-site intelligent processing.
- Employed neural network models for object recognition and distance estimation via similar triangles.
- Developed a warning scheme based on estimated distances.
Main Results:
- Achieved centimeter-level accuracy in vehicle distance detection.
- Demonstrated the effectiveness of the proposed scheme in experimental validation.
- Showcased the system's capability to provide crucial traffic target information.
Conclusions:
- The proposed automated vehicle distance detection scheme significantly enhances traffic safety.
- This technology is vital for enabling V2X communication at holographic intersections for intelligent connected vehicles (ICVs) and autonomous vehicles.
- The system offers a robust solution for real-time roadside data acquisition in smart transportation infrastructure.
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