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Probabilistic inference of visibility conditions by means of sensor fusion.

, , , и . Intelligent Vehicles Symposium, стр. 1211-1216. IEEE, (2014)

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Otto Löhlein

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Global positioning using a digital map and an imaging radar sensor., , , , , и . Intelligent Vehicles Symposium, стр. 406-411. IEEE, (2010)Feature-based monocular vehicle turn rate estimation from a moving platform., , , , , и . Intelligent Vehicles Symposium, стр. 642-647. IEEE, (2013)Dempster-Shafer Fusion of Context Sources for Pedestrian Recognition., , и . Belief Functions, том 164 из Advances in Intelligent and Soft Computing, стр. 319-326. Springer, (2012)Surround view pedestrian detection using heterogeneous classifier cascades., , и . ITSC, стр. 1317-1324. IEEE, (2011)Probabilistic inference of visibility conditions by means of sensor fusion., , , и . Intelligent Vehicles Symposium, стр. 1211-1216. IEEE, (2014)Analysis and assessment of far infrared sensor performance parameters and their impact on pedestrian detection., , , и . ITSC, стр. 119-124. IEEE, (2010)Efficient monocular vehicle orientation estimation using a tree-based classifier., , , и . Intelligent Vehicles Symposium, стр. 308-313. IEEE, (2011)Incorporating Lane Estimation as Context Source in Pedestrian Recognition Task., , и . ICPR, стр. 2628-2631. IEEE Computer Society, (2010)