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avod

Code for 3D object detection for autonomous driving

bjtu-script

Course selection@BJTU

deeppruner

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

enhancedlidar

Enhance LiDAR pointcloud based on stereo image.

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

jerry99s.github.io

lipsnet

LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control (ICML 2023)

nonzerosum_driving

pseudo_lidar

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

psmnet

Pyramid Stereo Matching Network (CVPR2018)

rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

second.pytorch

SECOND for KITTI/NuScenes object detection

tools_make_planes

AVOD needs the planes file to provide ground plane information, but the official planes generation tool has not yet been provided, which brings great difficulty to the test work. This project is used to generate planes files especially for AVOD testing.

traffic_flow_prediction

Forcast traffic flow on highway using LSTM based on PyTorch