On-Road Vehicle Detection: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle
International Journal of Computer Vision
Contact-analog information representation in an automotive head-up display
Proceedings of the 2008 symposium on Eye tracking research & applications
Visual Longitudinal and Lateral Driving Assistance in the Head-Up Display of Cars
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Augmenting the driver's view with realtime safety-related information
Proceedings of the 1st Augmented Human International Conference
Augmented reality vs. street views: a driving simulator study comparing two emerging navigation aids
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
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Making left turns across oncoming traffic without a protected left-turn signal is a significant safety concern at intersections. In a left turn situation, the driver typically does not have the right of way and must determine when to initiate the turn maneuver safely. It has been reported that a driver's inability to correctly judge the velocity and time gap of the oncoming vehicles is a major cause of left turn crashes. Although the position and velocity of surrounding vehicles is available using camera and laser based vehicle detection and tracking, methods on how to effectively communicate such information to help the driver have been relatively under-explored. In this paper, we describe a left turn aid that displays a 3 second projected path of the oncoming vehicle in the driver's environment with a 3D Head-Up Display (3D-HUD). Utilizing the abilities of our 3D-HUD to show the projected path in Augmented Reality (AR) could help increase driver intuition and alleviate visual distraction as compared to other possible non-AR solutions. Through an iterative process utilizing early user feedback, the design of the left turn aid was refined to interfere less with the driver view and be more effective. A pilot study has been designed for a driving simulation environment and can be used to evaluate the potential of the proposed AR left turn aid in helping the driver be more cautious or efficient when turning left.