Jan 1, 2017 · The LiDAR sensor, based on a Velodyne VLP-16, provides highly resoluted 3-D point data and is basicly used for object recognition and tracking. The sensor needs a line of sight to objects which should be recognized and tracked.

In this paper, we propose LIDAR, a lidar information based authentication mechanism for V2V communication, to authenticate vehicles locally without involvement of a trusted authority and infrastructures.

12K frames of LiDAR point clouds and RGB camera images, 230K annotated 3D bounding box; comprehensive benchmark with 4 LiDAR detectors and 4 different fusion strategies (16 models in total)

By combining lidar and OV2V communication, the strengths of each cover the other’s weaknesses. Lidar detects critical information such as road edges. OV2V provides immediate identification of vehicles within and beyond the range of the lidar.

Jun 28, 2024 · We develop a multi-modal complementary scheme aided beam tracking (MCBT) method, including data preprocess, index decision part (IDP), direction decision part (DDP) and direction limitation mechanism (DLM). To evaluate the method, we use the DeepSense 6G real-world V2V dataset.

Nov 3, 2020 · Among all V2V approaches, V2VNet is either on-par with LiDAR Fusion (which has no information loss) or achieves the best performance. V2VNet’s slight performance gain over LiDAR Fusion may come from using the GNN in the cross-vehicle aggregation stage to reason about different vehicles’ feature maps more intelligently than naive aggregation.

We classify 3D aerial LiDAR scattered height data into buildings, trees, roads, and grass using the Support Vector Machine (SVM) algorithm. To do so we use five features: height, height variation, normal variation, LiDAR return intensity, and image ...

Ultimately, this study bridges atmospheric science and vehicular localization, demonstrating the synergy between Lidar-based SLAM, ionospheric modeling, and the potential for robust Lidar-driven V2V networking to improve autonomous navigation and road safety.

Apr 15, 2025 · Initially focused on V2V for collision avoidance, V2X has evolved to encompass infrastructure-based intelligence. Roadside Units (RSUs) can now broadcast critical information like signal phase and timing (SPAT). ... With a 3D lidar-powered solution that delivers accurate detection, classification, and tracking, combined with robust safety ...

Jan 1, 2017 · Thereby Vehicle-to-Vehicle (V2V) technology contributes to increase traffic safety. This paper describes an investigation of V2V communication based on commercial On-Board-Units (OBU).