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The robust detection of obstacles, on a given road path by vehicles equipped with range measurement devices represents a requirement for many research fields including autonomous driving and advanced driving assistance systems. One particular sensor system used for measurement tasks, due to its known accuracy, is the LIDAR (Light Detection and Ranging). The commercial price and computational intensiveness...
The paper presents a method for automatically detecting pallets and estimating their position and orientation. For detection we use a sliding window approach with efficient candidate generation, fast integral features and a boosted classifier. Specific information regarding the detection task such as region of interest, pallet dimensions and pallet structure can be used to speed up and validate the...
Obstacles classification plays an important role in driving assistance systems. Any classification system should accurately distinguish, in real-time, between a set of well-known object classes such as pedestrians, cars and poles and other obstacles. If the object class is determined then the driving assistance system may take the right decision, in case of an imminent impact, in correlation to the...
This paper presents an occupancy grid tracking system based on particles, and the use of this system for dynamic obstacle detection in driving environments. The particles will have a dual nature they will denote hypotheses, as in the particle filtering algorithms, but they will also be the building blocks of our modeled world. The particles have position and speed, and they can migrate in the grid...
In this paper we introduce a system for semantic understanding of traffic scenes. The system detects objects in video images captured in real vehicular traffic situations, classifies them, maps them to the OpenCyc1 ontology and finally generates descriptions of the traffic scene in CycL or cvasi-natural language. We employ meta-classification methods based on AdaBoost and Random forest algorithms...
For a Driving Assistance System dedicated to intersection safety, knowledge about the structure and position of the intersection is essential, and detecting the painted road signs can greatly improve this knowledge. This paper describes a method for detection, measurement and classification of painted road objects that are typically found in European intersections. The features of the painted objects...
Accurate detection of moving obstacles from a moving vehicle is at the core of safe autonomous driving research. Stereo vision based sensors have been extensively used for this task as they are passive and provide a large amount 3D and 2D data. However, since no motion information is revealed, in intersections or crowded urban areas, static and dynamic objects immediately next to each other, or closely...
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