2 research outputs found
Autonomous Driving - 5 Years after the Urban Challenge: The Anticipatory Vehicle as a Cyber-Physical System
In November 2007 the international competition DARPA Urban Challenge took
place on the former George Airforce Base in Victorville, California to
significantly promote the research and development on autonomously driving
vehicles for urban environments. In the final race only eleven out of initially
89 competitors participated and "Boss" from Carnegie Mellon University
succeeded. This paper summarizes results of the research carried out by all
finalists within the last five years after the competition and provides an
outlook where further investigation especially for software engineering is now
necessary to achieve the goal of driving safely and reliably through urban
environments with an anticipatory vehicle for the mass-market.Comment: 10 pages, 7 figure
Assisted Highway Lane Changing with RASCL
Lane changing on highways is stressful. In this paper, we present RASCL, the Robotic Assistance System for Changing Lanes. RASCL combines state-of-the-art sensing and localization techniques with an accurate map describing road structure to detect and track other cars, determine whether or not a lane change to either side is safe, and communicate these safety statuses to the user using a variety of audio and visual interfaces. The user can interact with the system through specifying the size of their “comfort zone”, engaging the turn signal, or by simply driving across lane dividers. Additionally, RASCL provides speed change recommendations that are predicted to turn an unsafe lane change situation into a safe situation and enables communication with other vehicles by automatically controlling the turn signal when the driver attempts to change lanes without using the turn signal. 1