Popular GitHub Repositories for Off Road

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

An index of algorithms for offline reinforcement learning (offline-rl)

A Kitti Road Segmentation model implemented in tensorflow.

Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

Learn ML fundamentals for free.

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

DrQ: Data regularized Q

Ensembling Off-the-shelf Models for GAN Training (CVPR 2022 Oral)

RAD: Reinforcement Learning with Augmented Data

This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT

A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles ?

[Official] Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off

Graph-based Topology Reasoning for Driving Scenes

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

? Automatically continue generating answers when ChatGPT responses get cut-off