Title :
To Drive Is Human
Author :
Miller, Isaac ; Garcia, Ephrahim ; Campbell, Mark
Author_Institution :
Sch. of Mech. & Aerosp. Eng., Cornell Univ., Ithaca, NY
Abstract :
We perform an enormous number of functions while driving, and a computer trying to match a human driver must face all of them. Cornell University researchers offer an insider´s perspective on the issues the DARPA Grand Challenge competitors faced in creating a humanlike driver - without the human. In preparing for the Grand Challenge, Cornell University´s team divided the driving problem into three basic tasks: (i) localization - knowing where you are, (ii) sensing - seeing what´s around you, and (iii) path planning etermining how to get to a destination. Creating a vehicle capable of driving itself therefore required finding computational solutions to each of these three tasks
Keywords :
Global Positioning System; automatic guided vehicles; military vehicles; mobile robots; path planning; remotely operated vehicles; sensors; AGV sensing system; DARPA Grand Challenge; GPS receiver; automatic ground vehicles; localization; path planning; robotic driving; Costs; Global Positioning System; Humans; Laser radar; Position measurement; Pulse measurements; Receivers; Satellite broadcasting; Uncertainty; Vehicles; Autonomous vehicles; DARPA Grand Challenge; Unmanned vehicles;
DOI :
10.1109/MC.2006.446