Dynamic situation and threat assessment for collision warning systems: the EUCLIDE approach

Situation and threat assessment is considered as the highest level of abstraction in the vehicle tracking processes. In this paper, a broad discussion is introduced on algorithms for active safety functions, whilst a new dynamic algorithm is proposed. This approach handles all objects' states a...

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Bibliographic Details
Main Authors: Polychronopoulos, A., Tsogas, M., Amditis, A., Scheunert, U., Andreone, L., Tango, F.
Format: Conference Proceeding
Language:English
Subjects:
Alarm systems
Applied sciences
Exact sciences and technology
Ground, air and sea transportation, marine construction
Heuristic algorithms
Infrared sensors
Kalman filters
Layout
Radar tracking
Road transportation and traffic
Safety
Stochastic processes
Vehicle dynamics
Vehicles
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Summary:Situation and threat assessment is considered as the highest level of abstraction in the vehicle tracking processes. In this paper, a broad discussion is introduced on algorithms for active safety functions, whilst a new dynamic algorithm is proposed. This approach handles all objects' states as dynamic stochastic variables and based on a Kalman approach calculates in real time all trajectories respectively. Thus, a reconstruction of the traffic scene can be achieved in order to assess a level of threat for all moving and stationary obstacles in the longitudinal area of the subject vehicle. This approach is adopted in the European co-funded project "EUCLIDE", which develops a vision enhancement and collision warning system merging the functionality of an infrared camera and mmw radar sensor. Results are presented using simulated and real data sets from dedicated sessions.
DOI:10.1109/IVS.2004.1336458