1 / 23

Team XAR Autonomous Vehicle Research Group

Team XAR Autonomous Vehicle Research Group. Donald Bren School of Information and Computer Sciences. Student Members. Faculty Advisors. Professor Crista Lopes Artificial Intelligence “Driver” Professor Tony Givargis Embedded Systems & Robotics Professor Isaac Scherson

harmonyt
Download Presentation

Team XAR Autonomous Vehicle Research Group

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Team XARAutonomous Vehicle Research Group Donald Bren School of Information and Computer Sciences

  2. Student Members

  3. Faculty Advisors Professor Crista Lopes • Artificial Intelligence “Driver” Professor Tony Givargis • Embedded Systems & Robotics Professor Isaac Scherson • Electrical Engineering

  4. Team Goals • Develop an autonomous platform for R&D • Platform that is robust, easily controllable by software, and can serve a wide range of applications • Platform that can replace humans in hazardous environments • Platform that can complement human efforts

  5. Accomplishments • Developed a neural network obstacle avoidance system • Developed simulations • Modified electrical vehicle to become drive by wire • And most importantly….

  6. Autonomous Driving Success • Started with simulations • First successful obstacle avoidance • GPS following and obstacle avoidance

  7. Next Steps • Replace hardware to increase robustness, speed, accuracy, and power • Clean up architecture and recode rapidly prototyped, software components • Fuse more sensors together • Test Improve Apply

  8. RESCUE Applications • 3D Mapping • Area Survey & Mapping • Transportation & Crowd Control

  9. 3D Mapping • Build virtual representation of the world • Start with sensor data from lidars, radars, sonars, etc. • Overlay fused sensor data with live feed from cameras • Build bird’s eye view for command control training

  10. 3D Mapping • Build virtual representation of the world • Start with sensor data from lidars, radars, sonars, etc. • Overlay fused sensor data with live feed from cameras • Build bird’s eye view for command control training

  11. 3D Mapping • Build virtual representation of the world • Start with sensor data from lidars, radars, sonars, etc. • Overlay fused sensor data with live feed from cameras • Build bird’s eye view for command control training

  12. Area Survey & Mapping • Send vehicle to inspect an area • Deploy sensors • Create Signal coverage map • Create Hazardous areas map

  13. Area Survey & Mapping • Sample Scenario: Saving the Science Lib. • A: Send Autonomous vehicle to inspect area • B: Vehicle builds virtual reality of the surroundings and sends them back • C: Vehicle deploys an array of sensors allowing for full wireless coverage while mapping out the hazards it comes across

  14. Area Survey & Mapping • Sample Scenario: Saving the Science Lib. • A: Send Autonomous vehicle to inspect area • B: Vehicle builds virtual reality of the surroundings and sends them back • C: Vehicle deploys an array of sensors allowing for full wireless coverage while mapping out the hazards it comes across

  15. Area Survey & Mapping • Sample Scenario: Saving the Science Lib. • A: Send Autonomous vehicle to inspect area • B: Vehicle builds virtual reality of the surroundings and sends them back • C: Vehicle deploys an array of sensors allowing for full wireless coverage while mapping out the hazards it comes across

  16. Transportation & Crowd Control • Supply delivery • Transport disabled persons • Inform people that help is coming • Guide people to safer locations

  17. Discussion

More Related