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University of New South Wales, Australia at the 23rd Intelligent Ground Vehicle Competition (IGVC 2015) in Michigan. This is from a stabilised hand-held chase camera recording from UNSW's fastest advance course run, demonstrating the autonomous vehicle's real-time sensing, localisation, mapping, navigation and control capabilities. Course Ranking: #1 Distance: 1032 ft. Time: 3 minutes 52 seconds. Visualisation: https://youtu.be/MjsuWhYpq6E GoPro: https://youtu.be/A9BVr7kltl8 Team Website: http://www.robotics.unsw.edu.au/competitive/ Awards: * Lescoe Award (2nd place overall) * 1st in Auto-Nav Advanced Challenge * 1st in Auto-Nav Basic Challenge * 4th in Interoperability JAUS Challenge * Rookie of the Year Contributions to the path tracking software made by A/Prof Jay Katupitiya and Javad Taghia helped the team's autonomous vehicle achieve a high level of performance at the competition. Additional thanks to the UNSW Faculty of Engineering, NSW Trade & Investment, Advanced Navigation, Marathon Targets and SICK for helping make success possible. Video credit to Fredrik Westling Flashing light explanation: - Green is an autonomous operation mode indicator as required by competition rules. - Blue is a visual indicator of control input regulation by the electronic stability control. This can happen when the vehicle is 1) behaving differently than expected (from slippage), or is 2) attempting to drive or turn faster than what is deemed safe due to vehicle dynamics (to avoid roll-induced oversteer) and/or terrain (unusual incline). - Red is a visual indicator of low-voltage battery status. Continuous operation in this state may cause the vehicle to briefly stop, as a result of sensors or components power cycling due to the voltage dropping below nominal levels.