Topic: carla-simulator Goto Github
Some thing interesting about carla-simulator
Some thing interesting about carla-simulator
carla-simulator,Module for detecting traffic lights in the CARLA autonomous driving simulator. Based on the YOLO v2 deep learning object detection model and implemented in keras, using the tensorflow backend.
Organization: affinis-lab
carla-simulator,CARLA, açık kaynaklı bir otonom sürüş simülatörüdür.
User: ahmetfurkandemir
Home Page: https://ahmetfurkandemir.github.io/CARLA-Simulator/
carla-simulator,Applying RL methods for autonomous driving in Carla simulator.
User: akjayant
carla-simulator,🚗 This repository offers a ready-to-use training and evaluation environment for conducting various experiments using Deep Reinforcement Learning (DRL) in the CARLA simulator with the help of Stable Baselines 3 library.
User: alberto-mate
carla-simulator, 👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
User: amin-tgz
carla-simulator,This repository will provide tools and news about The OmniScape Dataset
User: arsekkat
Home Page: https://git.io/omniscape
carla-simulator,Multi Agent Traffic Scenario Gym: A scenario-based training and evaluation framework for CARLA.
Organization: autonomousdrivingexaminer
carla-simulator,[CoRL'22] PlanT: Explainable Planning Transformers via Object-Level Representations
Organization: autonomousvision
Home Page: https://katrinrenz.de/plant/
carla-simulator,Environments and Wrappers for CARLA, designed for ease of use with RL Tasks.
User: bhairavmehta95
carla-simulator,"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge
User: bradyz
carla-simulator,Reinforcement Learning Agents Trained in the CARLA Simulator
Organization: carla-rl-gym
carla-simulator,Open-source simulator for autonomous driving research.
Organization: carla-simulator
Home Page: http://carla.org
carla-simulator,GUI tool for creating simulation scenarios with Carla simulator
User: centuryliu
Home Page: https://carla-gui.readthedocs.io/en/latest/
carla-simulator,An OpenAI gym wrapper for CARLA simulator
User: cjy1992
carla-simulator,Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
User: cjy1992
carla-simulator,Self -driving cars specialization by the university of toronto at coursera
User: deepanshut041
Home Page: https://deepanshut041.github.io/self-driving-car-specialization/
carla-simulator,(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.
User: dotchen
Home Page: https://dotchen.github.io/LAV/
carla-simulator,(ICCV 2021, Oral) RL and distillation in CARLA using a factorized world model
User: dotchen
Home Page: https://dotchen.github.io/world_on_rails/
carla-simulator,Generating training data from the Carla driving simulator in the KITTI dataset format
User: enginbozkurt
carla-simulator,Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Organization: erdos-project
Home Page: https://pylot.readthedocs.io/
carla-simulator,A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and 3-D animation is based on Carla
User: fangjianli
carla-simulator,CARLA-KITTI generates synthetic data from the CARLA simulator for KITTI 2D/3D Object Detection task.
User: fnozarian
carla-simulator,AV Projects with the CARLA simulator
User: geniussh
carla-simulator,VR driving 🚙 + eye tracking 👀 simulator based on CARLA for driving interaction research
Organization: harplab
Home Page: https://arxiv.org/abs/2201.01931
carla-simulator,The Combined Anomalous Object Segmentation (CAOS) Benchmark
User: hendrycks
carla-simulator,TELECARLA: An Open Source Extension of the CARLA Simulator for Teleoperated Driving Research Using Off-the-Shelf Components
User: hofbi
carla-simulator,Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
User: idreesshaikh
carla-simulator,A simple gym environment wrapping Carla, a simulator for autonomous driving research. The environment is designed for developing and comparing reinforcement learning algorithms. Trackable costs also enable the application of safe reinforcement learning algorithms.
User: janwithb
carla-simulator,KITTI-CARLA: Python scripts to generate the KITTI-CARLA dataset
User: jedeschaud
carla-simulator,converter for OpenStreetMaps to OpenDrive roads - for use with Carla or other things
User: jhmeusener
carla-simulator,Blender add-on for creating OpenDRIVE and OpenSCENARIO based automotive driving scenarios including 3D models
User: johschmitz
carla-simulator,An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-Agents
User: kochlisgit
carla-simulator,applying multi-agent reinforcement learning for highway-merging autonomous vehicles
User: mahmoudtaouti
carla-simulator,How to run CARLA simulator on colab
User: michaelbosello
carla-simulator,Lane Keeping Assist function by applying Stanley method for lateral control and PID controller for longitudinal control using Python on the Carla simulator. 🚗
User: mostafa-wael
carla-simulator,A research framework for autonomous driving
Organization: oatml
Home Page: https://sites.google.com/view/av-detect-recover-adapt
carla-simulator,[CVPR 2023] Pytorch implementation of ThinkTwice, a SOTA Decoder for End-to-end Autonomous Driving under BEV.
Organization: opendrivelab
carla-simulator,A simple tool for generating training data from the Carla driving simulator
User: ozzyz
carla-simulator,Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
Organization: packtpublishing
Home Page: https://www.packtpub.com/big-data-and-business-intelligence/hands-intelligent-agents-openai-gym
carla-simulator,Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.
User: perseus784
carla-simulator,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:
User: praveen-palanisamy
Home Page: https://arxiv.org/abs/1911.04175
carla-simulator,A goal-oriented planning to lift VLN performance for Closed-Loop Navigation: Simple, Yet Effective
User: reachpranjal
Home Page: https://reachpranjal.github.io/lego-drive
carla-simulator,A benchmark towards generalizable reinforcement learning for autonomous driving.
User: seawee1
carla-simulator,Open-source vehicle and robotics simulator for research.
Organization: soda-auto
Home Page: https://soda.auto/products/sim/
carla-simulator,SHIFT Dataset DevKit - CVPR2022
Organization: syscv
Home Page: https://www.vis.xyz/shift
carla-simulator,Motion Control of Self-Driving Car for Trajectory Tracking
User: tinker-twins
carla-simulator,Official github page of UCF SST CitySim Dataset
Organization: ucf-sst-lab
Home Page: http://ucfsst.com
carla-simulator,carla simulator for autonomous driving research
User: vignif
carla-simulator,Attacking Vision based Perception in End-to-end Autonomous Driving Models
Organization: xz-group
Home Page: https://arxiv.org/abs/1910.01907
carla-simulator,This project implements a functional motion planning stack for autonomous vehicles to avoid both static and dynamic obstacles while tracking the center line of a lane, while also handling stop signs.
User: yymmaa0000
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.