ardrone_gazebo
carla
| ardrone_gazebo | carla | |
|---|---|---|
| 1 | 22 | |
| 13 | 10,531 | |
| - | 1.7% | |
| 0.0 | 9.4 | |
| about 2 years ago | 3 days ago | |
| C++ | C++ | |
| - | MIT License |
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.
ardrone_gazebo
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ardrone_gazebo (ROS Noetic package)
In the past, we (I'm one of the researchers/lecturers responsible for the course) used the AR.Drone. The students are a broad mix of computer science students. Some have a technical focus others are more business oriented. The existing Gazebo plugins for the AR.Drone are outdated or I couldn't make them work on Noetic. Using an old ROS Distribution and Python2 in 2022 was a big no-go! Moving to the PX4 wasn't an option due to the type of students. Therefore, I mixed and matched code, artifacts, ... from a few repositories, cleaned-up/rewrote some code... And, made the ardrone_gazebo package. It's nothing special. Big thank you to the TUM Computer Vision Group, tahsinkose and NovoG93! They did the real work.
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
What are some alternatives?
sjtu-drone - Gazebo-9 and Ubuntu 18.04 compatible SJTU Drone package
AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
tum_simulator
simulator - A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
sjtu-drone - ROS/ ROS 2 Gazebo quadcopter simulator. [Moved to: https://github.com/NovoG93/sjtu_drone]
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.
Universal_Robots_ROS_Driver - Universal Robots ROS driver supporting CB3 and e-Series
apollo - An open autonomous driving platform
uwv-simulator - A underwater vehicle simulation test-bed with SAUVC swimming pool environment with 6-vectored thruster configuration vehicle operating in remote controlled and autonomous mode.
webots - Webots Robot Simulator
gym - A toolkit for developing and comparing reinforcement learning algorithms.
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.