Search Results - "IEEE Intelligent Vehicles Symposium, 2004"

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  1. 1

    Pedestrian detection for driving assistance systems: single-frame classification and system level performance by Shashua, A., Gdalyahu, Y., Hayun, G.

    “…We describe the functional and architectural breakdown of a monocular pedestrian detection system. We describe in detail our approach for single-frame…”
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    Conference Proceeding
  2. 2

    Forward collision warning with a single camera by Dagan, E., Mano, O., Stein, G.P., Shashua, A.

    “…The large number of rear end collisions due to driver inattention has been identified as a major automotive safety issue. Even a short advance warning can…”
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    Conference Proceeding
  3. 3

    Comparison between the unscented Kalman filter and the extended Kalman filter for the position estimation module of an integrated navigation information system by St-Pierre, M., Gingras, D.

    “…An integrated navigation information system must know continuously the current position with a good precision. The required performance of the positioning…”
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    Conference Proceeding
  4. 4

    High accuracy stereo vision system for far distance obstacle detection by Nedevschi, S., Danescu, R., Frentiu, D., Marita, T., Oniga, F., Pocol, C., Schmidt, R., Graf, T.

    “…This paper presents a high accuracy stereo vision system for obstacle detection and vehicle environment perception in a large variety of traffic scenarios,…”
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    Conference Proceeding
  5. 5

    A comparison of the performance of artificial neural networks and support vector machines for the prediction of traffic speed by Vanajakshi, L., Rilett, L.R.

    “…The ability to predict traffic variables such as speed, travel time or flow, based on real time data and historic data, collected by various systems in…”
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    Conference Proceeding
  6. 6

    Traffic congestion estimation using HMM models without vehicle tracking by Porikli, F., Xiaokun Li

    “…We propose an unsupervised, low-latency traffic congestion estimation algorithm that operates on the MPEG video data. We extract congestion features directly…”
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    Conference Proceeding
  7. 7

    Vision-based pedestrian detection: the PROTECTOR system by Gavrila, D.M., Giebel, J., Munder, S.

    “…This paper presents the results of the first large-scale field tests on vision-based pedestrian protection from a moving vehicle. Our PROTECTOR system combines…”
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    Conference Proceeding
  8. 8

    IMM object tracking for high dynamic driving maneuvers by Kaempchen, N., Weiss, K., Schaefer, M., Dietmayer, K.C.J.

    “…Classical object tracking approaches use a Kalman-filter with a single dynamic model which is therefore optimised to a single driving maneuver. In contrast the…”
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    Conference Proceeding
  9. 9

    Real-time radial symmetry for speed sign detection by Barnes, N., Zelinsky, A.

    “…Algorithms for classifying road signs have a high computational cost per pixel processed. A promising approach to real-time sign detection is to reduce the…”
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    Conference Proceeding
  10. 10

    Simulation and optimization of traffic in a city by Wiering, M., Vreeken, J., van Veenen, J., Koopman, A.

    “…Optimal traffic light control is a multi-agent decision problem, for which we propose to use reinforcement learning algorithms. Our algorithm learns the…”
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    Conference Proceeding
  11. 11

    An integrated, robust approach to lane marking detection and lane tracking by McCall, J.C., Trivedi, M.M.

    “…Lane Detection is a difficult problem because of the varying road conditions that one can encounter while driving. We propose a method for lane detection using…”
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    Conference Proceeding
  12. 12

    A lane departure warning system based on a linear-parabolic lane model by Jung, C.R., Kelber, C.R.

    “…We propose a new lane departure warning system based on a linear-parabolic lane boundary model. A linear function is used to fit the near vision field, and a…”
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    Conference Proceeding
  13. 13

    Robust recognition of traffic signals by Lindner, F., Kressel, U., Kaelberer, S.

    “…In this paper a general system for real-time detection and recognition of traffic signals is proposed. The key sensor is a camera installed in a moving…”
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    Conference Proceeding
  14. 14

    Multi-target multi-object tracking, sensor fusion of radar and infrared by Mobus, R., Kolbe, U.

    “…This paper presents algorithms and techniques for single-sensor tracking and multi-sensor fusion of infrared and radar data. The results show that fusing radar…”
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    Conference Proceeding
  15. 15

    Pedestrian localization and tracking system with Kalman filtering by Bertozzi, M., Broggi, A., Fascioli, A., Tibaldi, A., Chapuis, R., Chausse, F.

    “…This work presents an implementation of a vision-based system for recognizing pedestrians in different environments and precisely localizing them with the use…”
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    Conference Proceeding
  16. 16

    Multi-resolution vehicle detection using artificial vision by Broggi, A., Cerri, P., Antonello, P.C.

    “…This paper describes a vehicle detection system using a single camera. It is based on the search for areas with a high vertical symmetry in multi-resolution…”
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    Conference Proceeding
  17. 17

    Defect detection on rail surfaces by a vision based system by Deutschl, E., Gasser, C., Niel, A., Werschonig, J.

    “…A new vision based inspection technique for rail surface defects is presented. It replaces visual checks with an automatic inspection system. Colour line-scan…”
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    Conference Proceeding
  18. 18

    Development, evaluation and introduction of a lane keeping assistance system by Ishida, S., Gayko, J.E.

    “…A driver assistance system has been developed which simultaneously supports the driver with two driving tasks that are most frequently required during normal…”
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    Conference Proceeding
  19. 19

    Vehicle detection fusing 2D visual features by Hoffman, C., Dang, T., Stiller, C.

    “…This paper presents a method for detection and tracking of vehicles by finding various characteristic features in the images of a monochrome camera. The…”
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    Conference Proceeding
  20. 20

    3D vision sensing for improved pedestrian safety by Grubb, G., Zelinsky, A., Nilsson, L., Rilbe, M.

    “…Pedestrian-vehicle accidents account for the second largest source of automotive related fatality and injury worldwide. This paper presents a system which…”
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    Conference Proceeding