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3mt-roadseg

Multi-Modal Multi-Task (3MT) Road Segmentation, IEEE RA-L 2023

ad-depth-estimation

adas

ADAS高级辅助驾驶的一些项目源码，包括LDW车道偏离预警、前车起步提醒等

avod

Code for 3D object detection for autonomous driving

awesome-bev-perception-multi-cameras

Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird-Eye-View, such as DETR3D, BEVDet, BEVFormer

axis_camera

Contains basic Python drivers for accessing an Axis camera's MJPG stream. Also provides control for PTZ cameras.

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.

bevfusion

Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

bevfusion-1

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

cam2bev

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

clocs

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

clocs_lqs

An implementation of CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection.

clrnet

Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).

cplusplusthings

C++那些事

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

depth-estimation

Depth estimation from stereo images.

depth-estimation-using-stereovision

In this project, we try to implement the concept of Stereo Vision. We test the code on 3 different datasets, each of them contains 2 images of the same scenario but taken from two different camera angles. By comparing the information about a scene from 2 vantage points, we can obtain the 3D information by examining the relative positions of objects.

fiery

PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"

gt2yolo

3D-CNN and Dangerous driving

hybridnets

HybridNets: End-to-End Perception Network

image-adaptive-yolo

The code for "Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions (AAAI 2022)"

ipm_transform

logonet

[CVPR2023] LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion.

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

multinet

Real-time Joint Semantic Reasoning for Autonomous Driving

multiyolov5

joint detection and semantic segmentation, based on ultralytics/yolov5,

openlane

Large-scale Realistic 3D Lane Dataset

ouster-ros

Official ROS drivers for Ouster sensors

pytorch-auto-drive

PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers