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Found 4 papers, 2 papers with code
Car-Following Models: A Multidisciplinary Review
Car-following (CF) algorithms are crucial components of traffic simulations and have been integrated into many production vehicles equipped with Advanced Driving Assistance Systems (ADAS).
Weighted Bayesian Gaussian Mixture Model for Roadside LiDAR Object Detection
In early studies, the probabilistic background modeling methods widely used for the video-based system were considered unsuitable for roadside LiDAR surveillance systems due to the sparse and unstructured point cloud data.
Roadside Lidar Vehicle Detection and Tracking Using Range And Intensity Background Subtraction
After that, the raw LiDAR data were rearranged into new data structures to store the information of range, azimuth, and intensity.
Spatial-Temporal Map Vehicle Trajectory Detection Using Dynamic Mode Decomposition and Res-UNet+ Neural Networks
The Dynamic Mode Decomposition (DMD) method is applied to extract vehicle strands by decomposing the Spatial-Temporal Map (STMap) into the sparse foreground and low-rank background.
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