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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Wittmann, David; Frederic Chucholowski, Markus Lienkamp 
Titel:
Improving Lidar Data Evaluation for Object Detection and Tracking Using a Priori Knowledge and Sensorfusion 
Abstract:
This paper presents a new approach to improve lidar data evaluation on the basis of using a priori knowledge. In addition to the common I- and L-shapes, the directional IS-shape, the C-shape for pedestrians and the E-shape for bicycles are introduced. Considering the expected object shape and predicted position enables effective interpretation even of poor measurement values. Therefore a classification routine is utilized to distinguish between three classes (cars, bicycles, pedestrians). The tr...    »
 
Stichworte:
FTM Fahrerassistenz 
Kongress- / Buchtitel:
11th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2014) 
Konferenzort:
Vienna, Austria 
Jahr:
2014 
Nachgewiesen in:
Web of Science 
TUM Einrichtung:
Lehrstuhl für Fahrzeugtechnik