carla
AirSim
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carla | AirSim | |
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22 | 10 | |
10,491 | 15,867 | |
2.6% | 1.2% | |
8.3 | 0.0 | |
4 days ago | 15 days ago | |
C++ | C++ | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
carla
- Tesla braces for its first trial involving Autopilot fatality
- Mediocre Arduino Coder here: is there anyone that can offer their expertise on a virtual autonomous car project?
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Best Self Driving Cars Projects.
It sounds like you're looking for something like the CARLA simulator.
- What good Autonomous Driving simulators for research?
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Importing map from google maps
If you are looking for a different simulator, I would suggest using (Carla)[https://carla.org/] with ROS bridge and it also has an inbuilt support for OSM which worked flawlessly (you have to install it from source to get the OSM plugin).
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[D] Doing my (bachelor) thesis on RL. Which topic do you like best?
(3) I would suggest you use CARLA or TORCS for self-driving cars in RL as they are common test beds.
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Can someone build carla RL env for centOS for me?
carla env
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Car simulation RL environment - Carla centOS build
Link to carla
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Best way to simulate and train VSLAM based robot in virtual environments?
There are a few ways you could go with this. A fun recent trend has been to make simulators in the unreal engine for photorealistic training. If you wanted to spend your whole project on the simulator part you could make your own environment, but I highly recommend using an open-source sim package. If you don't care too much about photorealism, you could use gazebo just fine. I've also made small visual worlds in blender, then simulated with RVIZ. Here's a good one with a focus on aerial robotics: https://theairlab.org/tartanair-dataset/ You could also give CARLA a spin for autonomous vehicles: https://carla.org/
- Open-source simulator for autonomous driving research
AirSim
- Modding API for old game: Strategies to ensure it runs on older systems while not losing productivity?
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Replay system (gamemode from c++)
Have created all widgets, code compile successfully but have problem with replay spectator. Im using plugin AirSim https://github.com/microsoft/AirSim it is plugin that simulate drone. It has own gamemode AirsimGamemode (here is c++ file https://github.com/microsoft/AirSim/tree/main/Unreal/Plugins/AirSim/Source) that spawn drone at start. Problem is that I cant assign BP_PC_Spectator there. So I created own gamemode that I thought will override AirSimGameMode. It kinda did, it spawned drone on start but replay spectator widget show record screen, but it is not shown on play replay screen and I cannot move there as well.
- Heat map of environment monitored by drone
- 3D heatmap of environment monitored by drone
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Airsim, ROS, can msg be shared between packages/nodes ?
Hi, I implemented path planner as node in ROS. Now I want to try the route planner in the AirSim simulator. During path execution, I want to get outputs from sensors such as GPS, IMU and Lidar. AirSim come with build in wrapper (https://github.com/microsoft/AirSim/tree/main/ros/src/airsim_ros_pkgs) that create topic and services once launched. Wrapper create two nodes, one to obtain sensors data and one to control drone. Wrapper is build in AirSim directory and path planer is in another. Is it possible to share msg so I can call and subscribe to wrapper topics in my planner node ? Or do I have to write msg for every topic, service I want to use ?
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Destruction of a russian fuel truck
And there are also some open-source projects you could join, instead of starting a new one. This one looks interesting, haven't tried it though: https://github.com/Microsoft/AirSim
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What happened in IoT last two months? Here are some headlines I found interesting
In 2017 Microsoft created AirSim, an open-source simulation platform for AI research and experimentation with drones and cars. This July, Microsoft announced the upcoming release of a new simulation platform and the archive of the original 2017 AirSim.
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Currently writing out a plan for an RL based path-planning project. (I'm doing it for my Smart Vehicles course in my Master's Degree) Don't have much domain knowledge atm but looking for some advice on how to approach the problem?
AirSim: https://github.com/microsoft/AirSim
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8+ Reinforcement Learning Project Ideas
AirSim
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Is it possible to train a self driving car on google colab?
I've been trying for a while now and I started thinking it may not be possible. If anyone has managed to train a self-driving car simulator using openai gym on google colab(preferably), or on any remote server (AWS, GCP, ...) please let me know. So far, I tried carla, airsim, svl, deepdrive and they are all equally useless unless run locally with a gui. I'd really appreciate if someone suggests some way that actually can make it possible.
What are some alternatives?
simulator - A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
openpilot - openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.
gym - A toolkit for developing and comparing reinforcement learning algorithms.
apollo - An open autonomous driving platform
GAAS - GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System.
webots - Webots Robot Simulator
Autonomous-Ai-drone-scripts - State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.