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Analyzing the Performance of 3D LiDAR and Camera-based Object Detection Systems and their Fusion
A Robust Diffusion Modeling Framework for Radar Camera 3D Object Detection
From Zero to Tracking objects with 3D LiDAR in 90 seconds
BirdNet: a 3D Object Detection Framework from LiDAR Information
Chengjie Huang VADet: Multi frame LiDAR 3D Object Detection using Variable Aggregation
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds
Fast-CLOCs: Fast Camera-LiDAR Object Candidates Fusion for 3D Object Detection
Physically Realizable Adversarial Examples for LiDAR Object Detection
VALO: A Versatile Anytime Framework for LiDar Based Object Detection Deep Neural Networks
Integrating ADAS with Keypoint Feature Pyramid Network for 3D LiDAR Object Detection
Lidar Object Detection using RANSAC and KD-tree Cluster
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Last Updated: September 27, 2026
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Summary
Authors: Junbo Yin, Jianbing Shen, Chenye Guan, Dingfu Zhou, Ruigang Yang Description: Existing Authors: Aral Hekimoglu; Michael Schmidt; Alvaro Marcos-Ramiro Description: We propose a novel semi-supervised active ... Authors: Zizhang Wu; Yunzhe Wu; Xiaoquan Wang; Yuanzhu Gan; Jian Pu Description: Radar-camera 3D Input aggregation is a simple technique used by state-of-the-art 2011 09 26 drive 0014 sync both 2 sides Code: github.com/maudzung/Super-Fast-Accurate-3D- Authors: Su Pang (Michigan State University)*; Daniel Morris (Michigan State University); Hayder Radha (Michigan State ... Authors: James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun ... Blog post Link: learnopencv.com/3d- Bounding boxes enclose vehicles. There is one box per detected