Multiple-model tracking for the detection of lane change maneuvers

@article{Weiss2004MultiplemodelTF,
  title={Multiple-model tracking for the detection of lane change maneuvers},
  author={Karsten Weiss and Nico Kaempchen and Alexander Kirchner},
  journal={IEEE Intelligent Vehicles Symposium, 2004},
  year={2004},
  pages={937-942}
}
Volkswagen research has developed a system for vehicle surround perception which integrates different sensor data of the environment into a combined description by using a single model Kalman tracker. This paper deals with the extension of the tracking system by means of an interacting multiple-model algorithm (IMM) to improve the tracking stability during curves and to detect lane changes of the observed target vehicle. The applied IMM-tracker uses specialized models for lateral and… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 35 CITATIONS

Capita Selecta : Virtual Reality Sensors in ADAS

  • 2007
VIEW 6 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Prediction of vehicle trajectories with map data for cooperative systems

VIEW 4 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Real- World Maneuver Extraction for Autonomous Vehicle Validation: A Comparative Study

VIEW 1 EXCERPT
CITES METHODS

Interacting Multiple Model Kalman Filter Based Vehicle Lateral Motion Estimation Under Various Road Surface Conditions

VIEW 1 EXCERPT
CITES METHODS

Lane Change Detection Using V2V Safety Messages

VIEW 1 EXCERPT
CITES BACKGROUND

Bayesian environment representation, prediction, and criticality assessment for driver assistance systems

VIEW 2 EXCERPTS
CITES BACKGROUND

Interaction-aware driver maneuver inference in highways using realistic driver models

VIEW 2 EXCERPTS
CITES BACKGROUND & METHODS

References

Publications referenced by this paper.
SHOWING 1-4 OF 4 REFERENCES

IMM-tracking-filter fuer Fahrerassistenzsysteme

  • Mario Mueller
  • In Workshop Fahrerassistenzsysteme,
  • 2003

Target modeling and dynamic classification for adaptive sensor data fusion

tonomous driving on vehicle test tracks : Overview , implementation and results CARSENSE - new environment sensing for advanced driver assistance systems

  • H. Weisser Schmidt, P. Schulenberg, H. Gollinger
  • Proceedings of the IEEE Intelligent Vehicles Symposium , Korea , 2001 . IEEE - Institute of Electrical and Electronics Engineers , Inc . [ 3 ] Bundesministerium fur Bildung und Forschung . Forderprojekt INVENT - Intelligenter Verkehr und nutzergerechte Technik