533 Open source projects that are alternatives of or similar to Baidu_Lane_Segmentation

Semantic Segmentation Models in Pytorch

Autonomous Racing Car using NVIDIA Jetson TX2 using end-to-end driving approach. Paper: https://arxiv.org/abs/1604.07316

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)

Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

2D and 3D UNet implementation in PyTorch.

Semi Supervised Semantic Segmentation Using Generative Adversarial Network ; Pytorch

EU Long-term Dataset with Multiple Sensors for Autonomous Driving

Implemetation of Pyramid Scene Parsing Network in Pytorch

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

A paper list of RGBD semantic segmentation (processing)

Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

Lidar Obstacle Detection

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

3d bounding box estimation from monocular image based on 2d bounding box

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

MonoLayout: Amodal Scene Layout from a single image

Caffe: a fast open framework for deep learning.

Ros package for basic autonomous lane tracking and object detection

Semantic Segmentation using Fully Convolutional Neural Network.

"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

[ICCVW'21] All you need are a few pixels: semantic segmentation with PixelPick

DMPR-PS: A Novel Approach for Parking-Slot Detection Using Directional Marking-Point Regression

A list of popular deep learning models related to classification, segmentation and detection problems

A Kitti Road Segmentation model implemented in tensorflow.

3D model exchange format with physical material properties for virtual development, test and validation of automated driving.

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

手工实现的智能图片处理系统 包含基础的图片处理功能 各类滤波 seam carving算法 以及结合精细语义分割信息 实现智能去除目标的功能

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet.

eCAL - enhanced Communication Abstraction Layer

Collections of Apollo Platform Software

CARMA Platform is built on robot operating system (ROS) and utilizes open source software (OSS) that enables Cooperative Driving Automation (CDA) features to allow Automated Driving Systems to interact and cooperate with infrastructure and other vehicles through communication.

Automatic Parking is an autonomous car maneuvering system (part of ADAS) that moves a vehicle from a traffic lane into a parking spot to perform parallel parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking…

Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving

An OpenAI gym wrapper for CARLA simulator

Real-time Joint Semantic Reasoning for Autonomous Driving

Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

无人驾驶相关论文速递

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

This is the source code of the feasibility study for Autoware architecture proposal.

Papers and Datasets about Point Cloud.

a tensorflow version for SEC approach in the paper "seed, expand and constrain: three principles for weakly-supervised image segmentation".

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. On ArXiv 2020

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

[ICLR2022] official implementation of UniFormer

Built a real-time lane departure warning system with a monocular camera, using OpenCV.

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

Corresponding implementations for the IROS 2018 paper "Modular Sensor Fusion for Semantic Segmentation"

Semantic Understanding of Foggy Scenes with Purely Synthetic Data

LPIPS metric on PaddlePaddle. pip install paddle-lpips

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.