darknet_ros
carla
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| darknet_ros | carla | |
|---|---|---|
| 4 | 22 | |
| 2,076 | 10,491 | |
| 2.8% | 2.6% | |
| 0.0 | 8.3 | |
| 7 months ago | 3 days ago | |
| C++ | C++ | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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darknet_ros
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Resources for obstacle avoidance
Sorry got swamped with exams, here is the darknet-ros repo: https://github.com/leggedrobotics/darknet_ros
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Yolo in ROS
You are using „darknet_ros“ package. That information probably belongs in the post. I do not have experience with that package. You should look into your logfile and try debug why it is shutting down. If you have further problems with the package. You should try to open a issue on GitHub. https://github.com/leggedrobotics/darknet_ros
Look at Issue here
- How can I Integrate YOLO algorithm in ROS for Lane and Vehicle Detection ?
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?
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
simulator - A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
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.
DarkHelp - C++ wrapper library for Darknet
apollo - An open autonomous driving platform
DarkPlate - License plate parsing using Darknet and YOLO
webots - Webots Robot Simulator
PreciseRoIPooling - Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).
gym - A toolkit for developing and comparing reinforcement learning algorithms.