IEEE Intelligent Systems · 2003 · 71 citations · 4 references
ComputingAutomotive EngineeringComputer ScienceAssistive TechnologyAutonomous VehiclesComputer VisionIntelligent Transportation SystemsLane DetectionRoad SafetyTraffic SafetyTraffic Sign RecognitionVehicle PerceptionAssistive Computer VisionBlind Spot DetectionDriver Assistance SystemsHead-up DisplayHighlightingLane Boundary DetectionLane Keeping Assist SystemsTraffic Sign Detection
At the Australian National University's Intelligent Vehicle Project, we are developing subsystems for: driver fatigue or inattention detection; pedestrian spotting; blind-spot checking and merging assistance to validate whether sufficient clearance exists between cars; driver feedback for lane keeping; computer-augmented vision (that is, lane boundary or vehicle highlighting on a head-up display); traffic sign detection and recognition; and human factors research aids Systems that perform such supporting tasks are generally called driver assistance systems (DAS). We believe that implementing DAS could prevent similar accidents or at least reduce their severity.
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An adaptive fusion architecture for target tracking
Gareth Loy, Luke Fletcher, Nicholas Apostoloff et al. · 2003 · 68 citations