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- Autodrome
- combine the truck simulator around the world
- Euro Truck
- American Truck
- Deep Drive
- Euro Pilot
- Airsim
- also have car
- have some competition and benchmark
- NeurIPS 2019 Game of Drone
- DRL Drone Racing Simulator
- Hotprops
- Real Drone Simulator
- Heli-X Flight Simulator
- Rotors
- Udacity Self-Driving-Car Engineer Nanodegree
- Self-driving cars are set to revolutionize the way we live. This is transformational technology, on the cutting-edge of robotics, machine learning, software engineering, and mechanical engineering. In this program, you’ll learn the skills and techniques used by self-driving car teams at the most advanced technology companies in the world.
- Udacity Flying Car and Autonomous Flight Engineer Nanodegree
- Master autonomous flight software engineering skills as you build your career in flying cars and drone robotics.
- 2018 IROS AI drone Racing
- Paper : Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing
- DroNet: Learning to Fly by Driving
- End to End Learning for Self-Driving Cars
- Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
- Inverse reinforcement learning control for trajectory tracking of a multirotor UAV
- IROS 2019 Paper
- IROS Autonomous Drone Racing
- Alpha Pilot
- Roborace
- NeurIPS AI Olympics
- nuScene
- KITTI
- Cityscapes
- A large dataset that records urban street scenes in 50 different cities,with high quality pixel-level annotations of 5,000 frames, in addition to a larger set of 20,000 weakly annotated frames.
- Berkeley DeepDrive BDD100k
- The largest dataset for self-driving AI and contains over 100,000 videos of over 1,100-hour driving events across different times of the day, and varying weather conditions.
- Baidu Apolloscapes
- This large dataset defines 26 distinct semantic items such as cars, bicycles, pedestrians, street lights, etc
- Scene sparsing
- Car instance
- Lane segmentation
- Self localisation
- This large dataset defines 26 distinct semantic items such as cars, bicycles, pedestrians, street lights, etc
- Comma.ai
- This dataset contains more than seven hours of highway driving for you to use in your projects.Details included within the dataset are:
- The speed of the car
- The acceleration
- The steering angle
- GPS coordinates
- This dataset contains more than seven hours of highway driving for you to use in your projects.Details included within the dataset are:
- Oxford’s Robotic Car
- This dataset contains over 100 repetitions of the same route through Oxford, UK, captured over one year with different combinations of weather, traffic and pedestrians, along with long-term changes such as construction and roadworks.
- KUL Belgium Traffic Sign Dataset
- This dataset contains 10,000+ annotations of traffic signs from thousands of physically distinct traffic signs in Belgium, particularly in the Flanders region.
- LISA: Laboratory for Intelligent & Safe Automobiles, UC San Diego Datasets
- CityFlow