Python package for the evaluation of odometry and SLAM
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Updated
May 10, 2024 - Python
Python package for the evaluation of odometry and SLAM
SECOND for KITTI/NuScenes object detection
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
World's first general purpose 3D object detection codebse.
Convert KITTI dataset to ROS bag file the easy way!
Pytorch version of SfmLearner from Tinghui Zhou et al.
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
Tutorial for using Kitti dataset easily
Visualising LIDAR data from KITTI dataset.
🔥3D-MOT(点云多目标检测和追踪C++) (2020 · 秋) 代码有详细注解
[CVPR 2021] Self-supervised depth estimation from short sequences
Python-based optical flow toolkit for existing popular dataset
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [2019]
[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
Efficient monocular visual odometry for ground vehicles on ARM processors
3D detection and tracking viewer (visualization) for kitti & waymo dataset
Estimating distance to objects in the scene using detection information
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