VpgnetVPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
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rail markingproof-of-concept program that detects rail-track with semantic segmentation for autonomous train system
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Deeplabv3PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
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OpenvehiclevisionAn opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation
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SegmentationTensorFlow implementation of ENet, trained on the Cityscapes dataset.
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Keras IcnetKeras implementation of Real-Time Semantic Segmentation on High-Resolution Images
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dreyeve[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.
Stars: ✭ 88 (+363.16%)
MCIS wsssCode for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
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loco carSoftware for LOCO, our autonomous drifting RC car.
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tf-semantic-segmentation-FCN-VGG16Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF
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Paper-NotesPaper notes in deep learning/machine learning and computer vision
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etos-deepcutDeep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.
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MFNet-pytorchMFNet-pytorch, image semantic segmentation using RGB-Thermal images
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The-Kraken-PathfindingA tentacle-based pathfinding library for nonholonomic robotic vehicles
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nobrainerA framework for developing neural network models for 3D image processing.
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YOLOP-opencv-dnn使用OpenCV部署全景驾驶感知网络YOLOP,可同时处理交通目标检测、可驾驶区域分割、车道线检测,三项视觉感知任务,包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行, 从而彻底摆脱对任何深度学习框架的依赖。
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JuliaAutonomyJulia sample codes for Autonomy, Robotics and Self-Driving Algorithms.
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image-segmentationMask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
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CSSRCrack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.
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VT-UNet[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
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IscloamIntensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020
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SF-GRUPedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs
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ScasNetSemantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)
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pytorch-UNet2D and 3D UNet implementation in PyTorch.
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ssganSemi Supervised Semantic Segmentation Using Generative Adversarial Network ; Pytorch
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PSPNet-PytorchImplemetation of Pyramid Scene Parsing Network in Pytorch
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K-Net[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation
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Scale-Adaptive-NetworkSemantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)
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caffeCaffe: a fast open framework for deep learning.
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Semantic SegmentationSemantic Segmentation using Fully Convolutional Neural Network.
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RandLA-Net-pytorch🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
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PixelPick[ICCVW'21] All you need are a few pixels: semantic segmentation with PixelPick
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awesome-computer-vision-modelsA list of popular deep learning models related to classification, segmentation and detection problems
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OpenMaterial3D model exchange format with physical material properties for virtual development, test and validation of automated driving.
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smartImgProcess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
Stars: ✭ 22 (+15.79%)
Remote-sensing-image-semantic-segmentation-tf2The 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.
Stars: ✭ 54 (+184.21%)
Depth-Guided-InpaintingCode for ECCV 2020 "DVI: Depth Guided Video Inpainting for Autonomous Driving"
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Fashion-Clothing-ParsingFCN, U-Net models implementation in TensorFlow for fashion clothing parsing
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Carma PlatformCARMA 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.
Stars: ✭ 243 (+1178.95%)
Autonomous-Parking-SystemAutomatic 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…
Stars: ✭ 39 (+105.26%)
Rtm3dUnofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)
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3d PointcloudPapers and Datasets about Point Cloud.
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SEC-tensorflowa tensorflow version for SEC approach in the paper "seed, expand and constrain: three principles for weakly-supervised image segmentation".
Stars: ✭ 35 (+84.21%)
Apollo perception rosObject detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS
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3d Bat3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
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UniFormer[ICLR2022] official implementation of UniFormer
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pysemsegSemantic Segmentation Models in Pytorch
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Jetson CarAutonomous Racing Car using NVIDIA Jetson TX2 using end-to-end driving approach. Paper: https://arxiv.org/abs/1604.07316
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DbnetDBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018
Stars: ✭ 172 (+805.26%)