Team XAR Autonomous Vehicle Research Group

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Team XARAutonomous Vehicle Research Group

• Donald Bren School of Information and Computer
  Sciences

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Student Members
Team Leader Philip Schlesinger Hussien Sleiman Titus Sanchez Hrayr Artunyan Anton Popov Lorraine Kan Chad Christensen Nick Mangano Adrian Sugandhi
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Faculty Advisors

• Professor Crista Lopes
• Artificial Intelligence Driver
• Professor Tony Givargis
• Embedded Systems Robotics
• Professor Isaac Scherson
• Electrical Engineering

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Team Goals

• Develop an autonomous platform for RD
• 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

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Accomplishments

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

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Autonomous Driving Success

• Started with simulations
• First successful obstacle avoidance
• GPS following and obstacle avoidance

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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

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RESCUE Applications

• 3D Mapping
• Area Survey Mapping
• Transportation Crowd Control

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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 birds eye view for command control
  training

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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 birds eye view for command control
  training

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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 birds eye view for command control
  training

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Area Survey Mapping

• Send vehicle to inspect an area
• Deploy sensors
• Create Signal coverage map
• Create Hazardous areas map

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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

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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

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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

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Transportation Crowd Control

• Supply delivery
• Transport disabled persons
• Inform people that help is coming
• Guide people to safer locations

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Discussion