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The Bearcat Cub V

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The Bearcat Cub V. Presented June 9, 2012 By William Hilton and Nicholas Vuotto. Outline. Our Team Introduction to the Cub Sensors Last year’s performance Design enhancements Wireless E-stop Wired E-stop Additional enhancements Lane Detection Obstacle Avoidance Conclusions. - PowerPoint PPT Presentation
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The Bearcat Cub V Presented June 9, 2012 By William Hilton and Nicholas Vuotto
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Page 1: The Bearcat Cub V

The Bearcat Cub V

Presented June 9, 2012By William Hilton and Nicholas Vuotto

Page 2: The Bearcat Cub V

Outline• Our Team• Introduction to the Cub• Sensors• Last year’s performance• Design enhancements

– Wireless E-stop– Wired E-stop– Additional enhancements

• Lane Detection• Obstacle Avoidance• Conclusions

Page 3: The Bearcat Cub V

Our Team

• University of Cincinnati• Participated all 20 years of IGVC• Currently all undergraduates

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Page 4: The Bearcat Cub V

Introduction to the Bearcat Cub• Incremental evolution of last

year’s vehicle• Two deep cycle marine batteries

for power• Segway wheels and gearboxes

for motion• Sensors mounted on mast for

intelligence• Dell laptop to control it all

Page 5: The Bearcat Cub V

Sensors

• SICK Lidar• Bumblebee stereovision• Two Sony camcorders• Novatel GPS• HMR Compass• Wheel encoders

Page 6: The Bearcat Cub V

Last Year’s Performance

• We qualified!• 1st run: software crashed• 2nd run: E-stop demonstration caused

software crash & full reboot• Fuses in inverter blew preventing further

attempts

Lesson learned: more robustness!

Page 7: The Bearcat Cub V

Wireless E-stop

Remote Kill Switch with 2.5x factor of safety!

250 feet

Page 8: The Bearcat Cub V

Wired E-stop

New, schematically simpler system.Easier to reset & doesn’t crash code.

Page 9: The Bearcat Cub V

Additions Since Report

Since the written report was submitted, the following changes have been made:• Foam safety bumper• Upgraded safety light from parallel port to

USB• Added 100A circuit breaker• And central fuse box• Code stability improvements

Page 10: The Bearcat Cub V

Lane Detection• HSV thresholding for color detection• Hough transform to find best line fit

Page 11: The Bearcat Cub V

Obstacle Detection• Uses LIDAR and stereovision• Obstacles create virtual repelling forces• Target creates virtual attractive force• Heading determined by summing the

forces

Page 12: The Bearcat Cub V

Conclusions

• The same software algorithms as last year:– but better tested!

• Upgrades to the electrical system and the frame to be:– More reliable– Safer

• Competition, here we come!

Page 13: The Bearcat Cub V

Thanks to

• Our mentor, Professor Humpert• University of Cincinnati Center for

Robotics Research• IGVC Committee

Questions?


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