carla
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carla | AirSim | |
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22 | 10 | |
10,347 | 15,748 | |
2.1% | 1.2% | |
8.3 | 0.0 | |
3 days ago | about 2 months ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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carla
- 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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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?
Carla: https://github.com/carla-simulator/carla
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8+ Reinforcement Learning Project Ideas
CARLA
- [R] CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
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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.
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What is the best source to learn how to build a self-driving car from scratch?
If you're more on the simulation side, you can do it with CARLA: http://carla.org/ You can add almost any sensor type there, create your pipeline, even use Openpilot from Comma ai.
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Made a selfDrivingCar recently.
Great work! For more data acquisition (perhaps will help the domain gap) you can look into CARLA: https://carla.org
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
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.
apollo - An open autonomous driving platform
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.
deepdrive - Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
apollo - 🚀 Apollo/GraphQL integration for VueJS
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
gym-donkeycar - OpenAI gym environment for donkeycar simulator