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Assisted Highway Lane Changing with RASCL

Richard Oliver Frankel, Ólafur Guðmundsson, Brett Miller, Jordan Potter, Todd Sullivan, Salik Syed, Doreen Hoang, Jae min John, Ki-Shui Liao, Pasha Nahass, Amanda Schwab, Jessica Yuan, David Stavens, Christian Plagemann, Clifford Nass, Sebastian Thrun

Year
2010
Citations
4

Abstract

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.

Keywords

Computer scienceSIGNAL (programming language)Variety (cybernetics)Human–computer interactionReal-time computingTrack (disk drive)SimulationArtificial intelligence

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