chi0612's Stars
wzzheng/TPVFormer
[CVPR 2023] An academic alternative to Tesla's occupancy network for autonomous driving.
OpenDriveLab/Birds-eye-view-Perception
[IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
fundamentalvision/BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
Arlo0o/StereoScene
Official PyTorch Implementation of Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion (IJCAI 2024)
megvii-research/OccDepth
Maybe the first academic open work on stereo 3D SSC method with vision-only input.
SAMMiCA/RODSNet
RODSNet: End-to-end Real-time Obstacle Detection Network for Safe Self-driving via Multi-task Learning
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Shrinidhi1/Multiclass-Semantic-Segmentation-for-Road-Surface-Detection
Identification of road surfaces and 12 different classes like speed bumps, paved, unpaved, markings, water puddles, potholes, etc.
thiagortk/Road-surface-detection-and-differentiation-considering-surface-damages
Semantic Segmentation in road surfaces, considering different pattern like asphalt, unpaved, potholes, etc.
gangweiX/IGEV
[CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching
tudelft-iv/instance_stixels
Implementation of the Instance Stixel pipeline. Paper:
eshibusawa/Stixel-World-Python
GPU implementation of stixel computation
yzfzzz/Stereo-Detection
Conventional SGBM depth ranging + yolov5 object detection with deployment on Jeston nano
alaeddineatt/ground_detection
ground detection using ransac from open3d
tobybreckon/stereo-disparity
a small selection of tools for calculating disparity and working with output from the CR MultiSense S21 stereo camera
thien/stereo.vision
planar fitting computation using stereo vision techniques
JJ97/road-surface-detection
Using 3D RANSAC to detect the road surface from stereo camera output
atharva333/ransac-surface-detection
Ransac to find road plane from 3d stereo data
ruirangerfan/GAL-DeepLabv3Plus
Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms (T-IP)
linusyue/stixel
Stixel c++ code based on gish523's algo.
dhernandez0/stixels
GPU-accelerated real-time stixel computation
mikhailiuk/Pothole_Detection
Pothole detection based on the disparity map of the road surface. Matlab implementation.
Dhruvanshu-Joshi/Pothole-Detection
We will use the Oak-D camera to get stereo shots of the road. Following which we will apply various image processing techniques to get the depth maps from the image. After that we will fit the maps onto the original image and label the potholes we detect on the road reference
williamhyin/SFND_Lidar_Obstacle_Detection
SFND_Lidar_Obstacle_Detection
ChristianJohnston97/ComputerVision
Road Surface Region Detection in 3D Stereo using RANSAC algorithm
JonathanSchmalhofer/RecursiveStereoUAV
Obstacle Detection and Avoidance for Autonomous Unmanned Aerial Vehicles Using Recursive Filtering of 3D Point Clouds in Stereo Vision
mhyr/Stereo_Vision_Based_Obstacle_Detection
RIVeR-Lab/stereovoxelnet
JiaRenChang/PSMNet
Pyramid Stereo Matching Network (CVPR2018)
Light-City/CPlusPlusThings
C++那些事