197 Open source projects that are alternatives of or similar to YOLOP

Self-driving RC Car ROS Software

Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving

Lane detection for the Nvidia Jetson TX2 using OpenCV4Tegra

Lane detection MATLAB code for Kalman Filter book chapter: Lane Detection

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。

Autonomous Driving Simulator for the Portuguese Robotics Open

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

Code for the paper Biomedical Event Extraction with Hierarchical Knowledge Graphs

An implementation of AVP-SLAM and some new contributions

Simple moving graph of GPU activity for the Jetson TX1 and Jetson TX2

Inter-Region Affinity Distillation for Road Marking Segmentation (CVPR 2020)

4th place solution in Baidu Autonomous Driving Lane Segmentation

Ros node to use LaneNet to detect the lane in camera

Code for ECCV 2020 "DVI: Depth Guided Video Inpainting for Autonomous Driving"

Autonomous RC Car using Neural Networks, Python and Open CV

Self Driving Cars Longitudinal and Lateral Control Design

Advanced lane finding

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

Accurate and Robust Lane Detection based on Dual-View Convolutional Neutral Network

Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer (IV 2020)

ML Dataset Governance Policy for Autonomous Vehicle Datasets

Social Distancing Detector using deep learning and capable to run on edge AI devices such as NVIDIA Jetson, Google Coral, and more.

中文NER的那些事儿

Code for "Multi-task Reinforcement Learning with Soft Modularization"

[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.

Repository for Autonomous Delivery Robot project of IvLabs, VNIT

Motion Planner for Self Driving Cars

LiDAR fog simulation

A tentacle-based pathfinding library for nonholonomic robotic vehicles

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Install ROS Melodic on NVIDIA Jetson Development Kits

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

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

Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

Real-Time Scheduling with NVIDIA Jetson TX2

*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach

BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)

Julia sample codes for Autonomy, Robotics and Self-Driving Algorithms.

My path-planning pipeline to navigate a car safely around a virtual highway with other traffic.

Basic python script for detect airdroid users in lan

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

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…

Installing PyTorch on the Nvidia Jetson TX1/TX2

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

Software for LOCO, our autonomous drifting RC car.

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

Get information about the NVIDIA Jetson OS environment. Lists L4T and JetPack versions, along with major libraries.

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

Install the CDC ACM and USB to Serial Modules for the Jetson TX1 or Jetson TX2 Development Kit

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

Gym environments and agents for autonomous driving.

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.

Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020

DLARM: Dissertation for Computer Science Masters Degree at UFRGS

A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.

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

An awesome list of self-driving cars

(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving