PaddleSeg是基于飞桨PaddlePaddle开发的端到端图像分割开发套件，涵盖了高精度和轻量级等不同方向的大量高质量分割模型。通过模块化的设计，提供了配置化驱动和API调用两种应用方式，帮助开发者更便捷地完成从训练到部署的全流程图像分割应用。
#计算机科学#Udacity Self-Driving Car Engineer Nanodegree projects.
翻译 - Udacity无人驾驶汽车工程师纳米学位项目。
#计算机科学#Unofficial implemention of lanenet model for real time lane detection
翻译 - 使用深度神经网络模型进行实时车道检测的lenet模型的非官方实现https://maybeshewill-cv.github.io/lanenet-lane-detection/
You Only Look Once for Panopitic Driving Perception.（MIR2022）
翻译 - 你只看一次全景驾驶感知。（https://arxiv.org/abs/2108.11250）
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
#计算机科学#Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchm...
#计算机科学#Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)
#计算机科学#Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
#计算机科学#End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
#计算机科学#An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.
Advanced lane detection using computer vision
#计算机科学#[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
#计算机科学#Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
#计算机科学#[ECCV 2022 Oral] Perspective Transformer on 3D Lane Detection
This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation
#计算机科学#Code for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression" (ICPR 2020)
Pytorch implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding"