AdTM tracking for blind spot collision avoidance

  title={AdTM tracking for blind spot collision avoidance},
  author={Marco Krips and Joachim Velten and Anton Kummert and Andreas Teuner},
  journal={IEEE Intelligent Vehicles Symposium, 2004},
Road traffic hazards typically occur on motorways during lane change, if another vehicle besides the own one has been overlooked. This can happen easily, if the other vehicle is in the blind spot and the driver has not assured accurately that there is no other vehicle alongside. In this paper, a tracking method for vehicles approaching from the rear is described. They are classified as potential targets by means of a shadow based classification algorithm. 

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 10 extracted citations

A vision-based blind spot warning system for daytime and nighttime driver assistance

Computers & Electrical Engineering • 2013
View 16 Excerpts
Highly Influenced

Capita Selecta : Virtual Reality Sensors in ADAS

View 4 Excerpts
Highly Influenced

Experimental study on driver's authority and attention monitoring

Proceedings of 2011 IEEE International Conference on Vehicular Electronics and Safety • 2011
View 1 Excerpt


Publications referenced by this paper.
Showing 1-7 of 7 references

Vision - based ACC with a Single Camera : I 3 ounds on Range and Range Accuracy ”

0. Mano G. P. Stein, A. Shashua
Proc . of the Intelligent Vehicles Symposium • 2003

A texture - based object detection and an adaptive model - based classification ”

C. Tzomakas Kalinke, W. von Seelen
Proc . of IEEE Int . Conference on Intelligent Vehicles

‘ Shadow and rhythm as sign patterns of obstacle detection ”

N. M. Charkari H. Mori

Similar Papers

Loading similar papers…