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» NEFCOP: A Neuro-Fuzzy Vehicle Collision Prediction System
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CIMCA
2005
IEEE
13 years 10 months ago
NEFCOP: A Neuro-Fuzzy Vehicle Collision Prediction System
Given that road accidents occur in a real-time environment, simple crisp functions would barely provide an estimate of the gravity of the life situation. Fuzzy-based systems are a...
K. Venkatesh, Archana Ramesh, M. Alagusundaram, J....
ICPR
2010
IEEE
13 years 8 months ago
Recognition and Prediction of Situations in Urban Traffic Scenarios
The recognition and prediction of intersection situations and an accompanying threat assessment are an indispensable skill of future driver assistance systems. This study focuses o...
Eugen Käfer, Christoph Hermes, Christian Wöhler,...
ICRA
2010
IEEE
119views Robotics» more  ICRA 2010»
13 years 3 months ago
Recognition of situation classes at road intersections
— The recognition and prediction of situations is an indispensable skill of future driver assistance systems. This study focuses on the recognition of situations involving two ve...
Eugen Kafer, Christoph Hermes, Christian Wöhl...
VTC
2008
IEEE
113views Communications» more  VTC 2008»
13 years 11 months ago
V2V Communications in Automotive Multi-Sensor Multi-Target Tracking
—Today’s automotive sensor systems for in-vehicle based target tracking, i.e. radar, lidar, camera, are limited to a field of view which is restricted by distance, angle and l...
Matthias Röckl, Thomas Strang, Matthias Kranz
TROB
2010
129views more  TROB 2010»
13 years 3 months ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...