The MIT - Cornell Collision and Why it Happened

Mid-way through the 2007 DARPA Urban Challenge, MIT's autonomous Land Rover LR3 'Talos' and Team Cornell's autonomous Chevrolet Tahoe 'Skynet' collided in a low-speed accident, one of the first well-documented collisions between two full-size autonomous vehicles. This collaborative study between MIT and Cornell examines the root causes of the collision, which are identified in both teams' system designs. Systems-level descriptions of both autonomous vehicles are given, and additional detail is provided on sub-systems and algorithms implicated in the collision. A brief summary of robot-robot interactions during the race is presented, followed by an in-depth analysis of both robots' behaviors leading up to and during the Skynet-Talos collision. Data logs from the vehicles are used to show the gulf between autonomous and human-driven vehicle behavior at low speeds and close proximities. Contributing factors are shown to be: (1) difficulties in sensor data association leading to phantom obstacles and an inability to detect slow moving vehicles, (2) failure to anticipate vehicle intent, and (3) an over emphasis on lane constraints versus vehicle proximity in motion planning. Eye contact between human road users is a crucial communications channel for slow-moving close encounters between vehicles. Inter-vehicle communication may play a similar role for autonomous vehicles; however, there are availability and denial-of-service issues to be addressed.
Published in Journal of Field Robotics, Special Issue on the DARPA Urban Challenge, Part III, v25 n10 p775-807, Oct 2008. Parepared in cooperation with Cornell University, Ithaca, NY. U.S. Government or Federal Rights License. The original document contains color images.