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Workshop:The 2007 DARPA urban challenge: From algorithms to autonomous vehicles
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IEEE Int. Conf. On Robotics and Automation (ICRA)
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The single frame stereo vision system for reliable obstacle detection used during the 2005 DARPA grand challenge on TerraMax
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Broggi, A., Caraffi, C., Porta, P., Zani, P., "The single frame stereo vision system for reliable obstacle detection used during the 2005 DARPA grand challenge on TerraMax" IEEE Intelligent Transportation System Conference, pp. 745-752, 2006.
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Tracking objects using a laser scanner in driving situation based on modeling target shape
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IEEE Intelligent Vehicle Symposium
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High level sensor data fusion approaches for object recognition in road environment
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Floudas, N., Polychronopoulos, A., Aycard, O., Burlet, J., Ahrholdt, M., "High Level Sensor Data Fusion Approaches for Object Recognition in Road Environment" IEEE Intelligent Vehicle Symposium, 136-141, 2007.
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Video based surround vehicle detection, classification and logging from moving platforms: Issues and approaches
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Gandhi, T., Trivedi, M., "Video Based Surround Vehicle Detection, Classification and Logging from Moving Platforms: Issues and Approaches" IEEE Intelligent Vehicle Symposium, 1067-1071, 2007.
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IEEE Intelligent Vehicle Symposium
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Gandhi, T.1
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Vehicle identification and GPS error detection from a LIDAR equipped probe vehicle
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IEEE Intelligent Transportation System Conference
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Gao, B.1
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Multi-classifier based LIDAR and camera fusion
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Hwang, J.P., Cho, S.E., Ryu, K.J., Park, S., Kim, E., "Multi-Classifier Based LIDAR and Camera Fusion" IEEE Intelligent Transportation Systems Conference, 467-472, 2007.
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IEEE Intelligent Transportation Systems Conference
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A real time object detection approach applied to reliable pedestrian detection
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Ma, G., Park, S., Loffe, A., Muller-Schneiders, S., Kummert, A., "A Real Time Object Detection Approach Applied to Reliable Pedestrian Detection" IEEE Intelligent Vehicle Symposium, 755-760, 2007.
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Situation-based multi-target detection and tracking with laserscanner in outdoor semi-structured environment
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Mendes, A., Nunes, U., "Situation-based multi-target detection and tracking with laserscanner in outdoor semi-structured environment" Proc. Conf. on Intelligent Robots and Systems, 2004.
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Mendes, A.1
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Feature-based multisensor fusion using bayes formula for pedestrian classification in outdoor environments
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Pangop, L.N., Chausse, F., Cornou, S., Chapuis, R., "Feature-based Multisensor Fusion Using Bayes Formula for Pedestrian Classification in Outdoor Environments" IEEE Intelligent Vehicle Symposium, 62-67, 2007.
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A lidar and vision-based approach for pedestrian and vehicle detection and tracking
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Premebida, C., Monteiro, G., Nunes, U., Peixoto, P., "A Lidar and Vision-based Approach for Pedestrian and Vehicle Detection and Tracking" IEEE Intelligent Transportation Systems Conference, 1044-1049, 2007.
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On-road vehicle detection: A review
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Online localization and mapping with moving object tracking in dynamic outdoor environment
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Vu, T., Aycard, O., Appenrodt, N., "Online Localization and Mapping with Moving Object Tracking in Dynamic Outdoor Environment" IEEE Intelligent Vehicle Symposium, 190-195, 2007.
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Simultaneous localization and mapping with detection and tracking of moving objects
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IEEE Int. Conf. On Robotics and Automation (ICRA)
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Robust driving path detection in urban and highway scenarios using a laser scanner and online occupancy grids
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Weiss, T., Schiele, B., Dietmayer, K., "Robust Driving Path Detection in Urban and Highway Scenarios using a Laser Scanner and Online Occupancy Grids" IEEE Intelligent Vehicle Symposium, 184-189, 2007.
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Weiss, T.1
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Object-classification exploiting high level maps of intersections
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Advanced Microsystems for Automotive Applications
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A stereovision method for obstacle detection and tracking in non-flat urban environments
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SLAM in a dyanmic large outdoor environment using a laser scanner
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Zhao, H., Chiba, M., Shibasaki, R., Shao, X., Cui, J., Zha, H., "SLAM in a Dyanmic Large Outdoor Environment using a Laser Scanner" IEEE Int. Conf. on Robotics and Automation (ICRA), 1455-1462, 2008.
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Driving safety and traffic data collection - A laser scanner based approach
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Zhao, H., Chiba, M., Shibasaki, R., Katabira, K., Cui, J., Zha, H., "Driving Safety and Traffic Data Collection - A Laser Scanner Based Approach" IEEE Intelligent Vehicle Symposium, 329-336, 2008.
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IEEE Intelligent Vehicle Symposium
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