Real- Time Onboard Vision

Get Started. It's Free
or sign up with your email address
Real- Time Onboard Vision by Mind Map: Real- Time Onboard Vision

1. Labs/People/Organizations

1.1. Imperial

1.1.1. Andrew Davis

1.2. Oxford

1.3. ETH

1.3.1. Lorentz Mayer

1.4. GRASP Lab

1.5. Andrew Zisserman, BMVA Distinguished Fellow

1.6. http://raffaello.name/

1.7. http://www.osrfoundation.org/

1.8. Boston Dymanics Atlas/PETMAN

1.9. Willow Garage

2. Learning(Everything)

2.1. Computer Vision Course

2.2. SLAM Lecture by Andrew Davis

2.3. Visual Navigation for Flying Robots (Dr. Jürgen Sturm)

2.4. https://www.youtube.com/user/WillowGaragevideo

2.5. https://www.youtube.com/user/sparkfun

2.6. https://www.youtube.com/user/makemagazine

2.7. https://www.youtube.com/user/EEVblog

2.8. Semantic Object Recognition

2.9. ROS Channel (My YouTube)

2.10. ROS Industrial Consortium

2.11. Imperial Lecture Notes (Dropbox)

2.12. MilfordRobotics (YouTube)

2.13. SLAM Lectures

2.14. Bayes

2.14.1. https://www.youtube.com/channel/UCjtrtD-c6i2PxNiYs1BcJRg

3. SBC to APM via Mavlink - Is it Possible?

4. neuromorphic

5. COG

5.1. Visual Search

6. Electronics

6.1. Curent Draw

7. Integration

7.1. Semantic & Cognitive Robotics

7.1.1. RoboEarth

7.2. Emotiv EEG Control

8. Hardware

8.1. Vision Sensor

8.1.1. Carmine and Capri from Prime Sense

8.1.2. CCD vs CMOS Sensors

8.1.3. Structured light

8.1.4. time-of-flight camera

8.1.5. Shutter

8.1.5.1. Global Shutter

8.1.5.2. Rolling Shutter

8.1.6. Pixhawk's

8.1.6.1. Matrix Vision

8.1.6.2. e-Con

8.1.7. exposure/shutter speed

8.1.8. Odroid's Cam

8.2. Drone

8.2.1. 3DR RTF X8 2013

8.3. SBC

8.3.1. Gumstix

8.3.2. http://beagleboard.org/

8.3.3. ODroid U3 (Used by Pixhawk

8.3.4. ODroid

8.3.4.1. RobRoy Mag Editor

8.3.5. SBC Comparison

8.3.5.1. https://en.wikipedia.org/wiki/Comparison_of_single-board_computers

8.3.6. SBC Power

9. Math/Other

9.1. stereo matching

9.2. Bundle Adjustment

9.3. odometry

9.4. Model Theory

9.5. Regression

9.6. RANSAC

9.7. Group Theory

9.8. graph estimation

9.9. Relation

9.10. Equivalence Relation

9.11. Covariance Matrix

9.12. Disparity estimation

9.13. drift

10. Computer Vision

10.1. SLAM

10.1.1. PTAMM

10.1.2. JPL/NASA SLAM Use

10.1.3. MilfordRobotics

10.1.3.1. RatSLAM

10.1.3.2. SeqSlam

10.1.4. PTAM

10.1.5. Monocular SLAM and Real-Time Scene Perception - Andrew Davidson (Imperial)

10.1.6. MonoSLAM

10.1.7. IMU-VSLAM

10.1.8. SLAM++

10.1.9. why filter - network equivalent of kalman filter and its advantages (see MONOSLAM lecture, imperial)

10.1.10. loop closing event

10.1.11. SeqSLAM

10.1.12. slam is a joint estimation problem

10.2. TDL/Predator

10.3. Fundamental matrix (computer vision)

10.4. Active Vision

10.5. Occupancy Mapping (OcMaps) Place recognition (Imperial Notes

11. 3DR Arducopter

11.1. APM 2.6

11.2. https://code.google.com/p/ardupirates/

12. Fra

13. Pixhawk Middleware - MAVCONN Aerial Middleware

13.1. MIT's LCM

13.2. low-latency: Communication between processes is done in about 100 microseconds

13.3. Use of one protocol (MAVLink) on all subsystems (Linux, IMU, ground control)

13.4. ethzasl_sensor_fusion

14. Networking

14.1. UK

14.1.1. London

14.1.1.1. Nick Weldin (East London), R.O.S Lecture

15. Similar Projects (to Droidworx)

15.1. icarus-uav-system

15.2. Marcin

15.3. Projects USING PTAM

15.4. https://icoderaven.wordpress.com/tag/arducopter/

15.5. sFLY

16. MavProxy

17. Control Theory

17.1. Monte Carlo Simulation

17.2. Frequency Domain Analysis

17.3. loop closure

17.4. Time Domain Analysis

17.5. markov networks

17.6. Phase Portrait

17.7. controll loops and delay tolerances

17.8. EKF Kalman Filter

17.9. Topological Equivalence

17.10. Statistical Mechanics

17.11. Limit Cycle

17.12. Topological conjugacy

17.13. Phase Space

17.14. Laplace Transform

17.15. LEARNING

17.15.1. Brian (YouTube)

17.15.1.1. Broad Concepts in Control Theory

17.16. State estimation

18. ROS

18.1. ROS is not Real-Time(RTOS)

18.2. MAVLINK

18.3. RosCopter

18.4. ROS PTAM Package

18.4.1. ethzasl_ptam

18.4.1.1. Stephan Weiss

18.4.1.2. Papers

18.4.1.3. Camera functions well at 70m altitude sFly Test (ros package page)

18.5. RatSLAMROS

18.6. http://moveit.ros.org/

18.7. LCM (MIT)

19. Frameworks

19.1. ROS

19.2. https://www.dronecode.org/

19.3. http://www.openframeworks.cc/