Search Results - "Perrollaz, M."

Probabilistic Analysis of Dynamic Scenes and Collision Risks Assessment to Improve Driving Safety by Laugier, C., Paromtchik, I. E., Perrollaz, M., Yong, M. Y., Yoder, J., Tay, C., Mekhnacha, K., Negre, A.

“…The article deals with the analysis and interpretation of dynamic scenes typical of urban driving. The key objective is to assess risks of collision for the…”
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Long Range Obstacle Detection Using Laser Scanner and Stereovision by Perrollaz, M., Labayrade, R., Royere, C., Hautiere, N., Aubert, D.

“…To be exploited for driving assistance purpose, a road obstacle detection system must have a good detection rate and an extremely low false detection rate…”
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Computing occupancy grids from multiple sensors using linear opinion pools by Adarve, J. D., Perrollaz, M., Makris, A., Laugier, C.

“…Perception is a key component for any robotic system. In this paper we present a method to construct occupancy grids by fusing sensory information using Linear…”
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Using fast classification of static and dynamic environment for improving Bayesian occupancy filter (BOF) and tracking by Baig, Q., Perrollaz, M., Nascimento, J. B. D., Laugier, C.

“…In this paper we present some important improvements to a fast motion detection technique based on laser data and odometry/imu information. This technique…”
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Teachless teach-repeat: Toward vision-based programming of industrial robots by Perrollaz, M., Khorbotly, S., Cool, A., Yoder, J.-D, Baumgartner, E.

“…Modern programming of industrial robots is often based on the teach-repeat paradigm: a human operator places the robot in many key positions, for teaching its…”
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Road Scene Analysis by Stereovision: a Robust and Quasi-Dense Approach by Hautiere, N., Labayrade, R., Perrollaz, M., Aubert, D.

“…A stereovision method is presented in this paper, to compute reliable and quasi-dense disparity maps of road scenes using in-vehicle cameras. It combines the…”
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