Abstract
Mid-way through the 2007 DARPA Urban Challenge, MIT’s robot ‘Talos’ and Team Cornell’s robot ‘Skynet’ collided in a low-speed accident. This accident was one of the first collisions between full-sized autonomous road vehicles. Fortunately, both vehicles went on to finish the race and the collision was thoroughly documented in the vehicle logs. This collaborative study between MIT and Cornell traces the confluence of events that preceded the collision and examines its root causes. A summary of robot–robot interactions during the race is presented. The logs from both vehicles are used to show the gulf between robot and human-driver behavior at close vehicle proximities. Contributing factors are shown to be: (1) difficulties in sensor data association leading an inability to detect slow-moving vehicles and phantom obstacles, (2) failure to anticipate vehicle intent, and (3) an over-emphasis on lane constraints versus vehicle proximity in motion planning. Finally, we discuss approaches that could address these issues in future systems, such as inter-vehicle communication, vehicle detection and prioritized motion planning.
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Fletcher, L. et al. (2009). The MIT – Cornell Collision and Why It Happened. In: Buehler, M., Iagnemma, K., Singh, S. (eds) The DARPA Urban Challenge. Springer Tracts in Advanced Robotics, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03991-1_12
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DOI: https://doi.org/10.1007/978-3-642-03991-1_12
Publisher Name: Springer, Berlin, Heidelberg
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