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- W629770887 abstract "The authors have been developing an autonomous platooning system of heavy trucks aimed at enhancing its energy efficiency by shortening headway distance between trucks. This paper focused on developing a forward environment perception method for fully automated lead vehicle of the autonomous platooning system. To percept the forward environment of autonomous platooning system, it is important to robustly detect obstacles from distance. Additionally, it is also important to recognize which lane the detected obstacles exist. In this research, the obstacles are detected robustly and precisely based on multi-sensor fusion scheme between LIDAR and RADAR. Moreover, the lanes, where the obstacles exist, are recognized by using geometrical curvature of driving lane estimated from both ego-motion and lane marker position detected from cameras." @default.
- W629770887 created "2016-06-24" @default.
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- W629770887 date "2012-01-01" @default.
- W629770887 modified "2023-09-24" @default.
- W629770887 title "Preceding Vehicle Recognition for Lead Vehicle of Fully Automated Platooning Trucks Based on Multi-sensor Fusion" @default.
- W629770887 hasPublicationYear "2012" @default.
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