Beating Super Hexagon With Computer Vision
Two great examples of using Computer Vision to beat Super Hexagon.
Super Hexagon is a really hard game. The goal of Super Hexagon is to control a small triangle which circles around a central hexagon (which occasionally collapses into a pentagon or square in the hexagon and hyper hexagon difficulty) attempting to avoid contact with incoming "walls".
First example from Valentin Trimaille's Super Hexagon bot:
Ray Casting Wall Detection
The point is that a bot for this game makes a really nice image processing project to start learning OpenCV: simple shapes but lots of human disturbing effects, fast-paced game meaning real-time is required, very simple controls: rotate CW or CCW... (full article)
Second example from Shaun LeBron's Super Hexagon Unwrapper:
This project is written in Python. It employs Computer Vision algorithms provided by SimpleCV to establish a reference frame in the image. Then it warps (or "unwraps") the image based on that reference frame, using OpenGL fragment shaders... (github code) (full explanation)
Proposed FAA Commercial UAS Rules
From IEEE Spectrum:
Unmanned aircraft must weigh less than 55 lbs. (25 kg).
Visual line-of-sight (VLOS) only; the unmanned aircraft must remain within VLOS of the operator or visual observer.
At all times the small unmanned aircraft must remain close enough to the operator for the operator to be capable of seeing the aircraft with vision unaided by any device other than corrective lenses.
Small unmanned aircraft may not operate over any persons not directly involved in the operation.
Daylight-only operations (official sunrise to official sunset, local time).
Must yield right-of-way to other aircraft, manned or unmanned.
May use visual observer (VO) but not required.
First-person view camera cannot satisfy “see-and-avoid” requirement but can be used as long as requirement is satisfied in other ways.
Maximum airspeed of 100 mph (87 knots).
Maximum altitude of 500 feet above ground level... (full article)
Communicating Cars the Future?
If uninterrupted conversations between cars make driving safer, then self-driving cars will become safer as well.
European Research Consortium Collaborates to Develop Unmanned Robot to Manage Vineyards
A European research consortium comprising Spanish, French, Italian and German universities and companies is working on the development of an unmanned robot, equipped with non-invasive advanced sensors and artificial intelligence systems, which will help manage vineyards.
Robots Explore Dangerous Mines with Novel Sensor Fusion Technology
The 3D Riegl scanning laser range finder and an Acumine 2D scanning millimeter wave radar were transported on Husky and used to record video footage and densely sampled data sets. The data is being submitted to the International Journal of Robotics Research to ensure that this insight and information is available to the robotics community.
My 2015 Predictions: Big Deployments, Big Ideas and Big Problems Solved
I see three exciting and significant trends taking place right now that I think will begin to gain some very real traction in 2015.
Records 1996 to 2001 of 2001
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