Robotics Etc - jungwonkang/references GitHub Wiki
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Quadrotors and accelerometers: state estimation with an improved dynamic model
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Mapping on demand: local perception and 3D navigation (Univ of Bonn)
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Unmanned aerial vehicles: a survey on civil applications and key research challenges
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What can robotics research learn from computer vision research?
- ETH Zurich, Autonomous Systems Lab
- University of Zurich (Davide Scaramuzza), Robot Perception Group
- Grasp Lab (Vijay Kumar), UPenn
- HKUST Aerial Robotics Group
- Autoware
- http://www.teevr.com/
- Computer vision for autonomous vehicles: problems, datasets and state-of-the-art
- https://www.ptgrey.com/KB/10694
- http://www.mogi.bme.hu/TAMOP/jarmurendszerek_iranyitasa_angol/ch03.html
- https://velodynelidar.com/newsroom/category/blog/automotive/
- https://spectrum.ieee.org/cars-that-think/transportation/sensors/velodyne-announces-a-solidstate-lidar
- http://www.hizook.com/blog/2009/01/04/velodyne-hdl-64e-laser-rangefinder-lidar-pseudo-disassembled
- http://beginnerflyer.com/build-a-drone/
- https://maker.pro/custom/projects/diy-quadcopter-tutorial
- https://m.blog.naver.com/dukuby/221331311095 (in Korean)
- Lidar Mapping with Ouster 3D Sensors
- A Dataset for Semantic Segmentation of Point Cloud Sequences
- Self-Driving Cars: A Survey