Search Results - "Tsogas, M"

  • Showing 1 - 10 results of 10
Refine Results
  1. 1

    Sensor Fusion for Predicting Vehicles' Path for Collision Avoidance Systems by Polychronopoulos, A., Tsogas, M., Amditis, A.J., Andreone, L.

    “…Path prediction is the only way that an active safety system can predict a driver's intention. In this paper, a model-based description of the traffic…”
    Get full text
    Journal Article
  2. 2

    An Advanced Cooperative Path Prediction Algorithm for Safety Applications in Vehicular Networks by Lytrivis, P., Thomaidis, G., Tsogas, M., Amditis, A.

    “…Vehicular ad hoc networks (VANETs) are in the heart of current and future automotive research. Most of the current vehicular safety applications are based on…”
    Get full text
    Journal Article
  3. 3

    A Situation-Adaptive Lane-Keeping Support System: Overview of the SAFELANE Approach by Amditis, A, Bimpas, M, Thomaidis, G, Tsogas, M, Netto, M, Mammar, S, Beutner, A, Möhler, N, Wirthgen, T, Zipser, S, Etemad, A, Da Lio, M, Cicilloni, R

    “…Going beyond standard lane-departure-avoidance systems, this paper addresses the development of a system that is able to deal with a large set of different…”
    Get full text
    Journal Article
  4. 4

    Value and risk in business-to-business e-banking by Faroughian, Frank F., Kalafatis, Stavros P., Ledden, Lesley, Samouel, Phillip, Tsogas, Markos H.

    Published in Industrial marketing management (01-01-2012)
    “…The purpose of this paper is to examine the role of risk in the formation of perceptions of value in the b2b domain, specifically within e-banking. The…”
    Get full text
    Journal Article
  5. 5

    Unscented Kalman filter design for curvilinear motion models suitable for automotive safety applications by Tsogas, M., Polychronopoulos, A., Amditis, A.

    “…Research in automotive safety leads to the conclusion that modern vehicle should utilize active and passive sensors for the recognition of the environment…”
    Get full text
    Conference Proceeding
  6. 6

    Dynamic situation and threat assessment for collision warning systems: the EUCLIDE approach by Polychronopoulos, A., Tsogas, M., Amditis, A., Scheunert, U., Andreone, L., Tango, F.

    “…Situation and threat assessment is considered as the highest level of abstraction in the vehicle tracking processes. In this paper, a broad discussion is…”
    Get full text
    Conference Proceeding
  7. 7

    Prediction of unintentional lane departure using evidence theory by Polychronopoulos, A., Koutsimanis, C., Tsogas, M., Amditis, A.

    “…The scope of this paper is the development of algorithms for driving support systems for safe lane changing maneuvers (lane change assist system) and safe…”
    Get full text
    Conference Proceeding
  8. 8

    Multi-Sensor Coordination And Fusion For Automotive Safety Applications by Floudas, N., Polychronopoulos, A., Tsogas, M., Amditis, A.

    “…This paper focuses on the solution of the problem of (onboard moving vehicles) multiple sensor data fusion systems. The proposed application uses distributed…”
    Get full text
    Conference Proceeding
  9. 9

    Situation refinement for vehicle maneuver identification and driver's intention prediction by Tsogas, M., Polychronopoulos, A., Floudas, N., Amditis, A.

    “…In safety automotive applications the system must me capable of early recognizing the maneuvers performed by the driver and the intention associated with them…”
    Get full text
    Conference Proceeding
  10. 10

    Extended path prediction using camera and map data for lane keeping support by Polychronopoulos, A., Tsogas, M., Amditis, A., Etemad, A.

    “…Lane departure or lane keeping systems should detect in advance not only if a road/lane departure would occur, but also when it would happen. The goal of the…”
    Get full text
    Conference Proceeding