[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
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Updated
Jul 31, 2024 - Python
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
An extension of Open3D to address 3D Machine Learning tasks
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
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The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
Long Range 3D Perception - VoxelNeXt (CVPR 2023)
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.
Full-python LiDAR SLAM using ICP and Scan Context
深度强化学习路径规划, SAC路径规划, Soft Actor-Critic算法, SAC-pytorch,激光雷达Lidar避障,激光雷达仿真,Adaptive-SAC
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]
Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21
A LiDAR SLAM system that just works
Unitree Go2 simulation platform for testing navigation, decision-making and autonomous tasks. (NVIDIA Isaac/ROS2)
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