Each year, thousands of pedestrians are injured or killed in traffic accidents. Identifying pedestrians' perceptual capabilities for street crossing decisions is an important...
A. Elizabeth Seward, Daniel H. Ashmead, Bobby Bode...
Abstract. This paper deals with the detection of arbitrary static objects in traffic scenes from monocular video using structure from motion. A camera in a moving vehicle observes ...
Andreas Wedel, Uwe Franke, Jens Klappstein, Thomas...
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
Abstract. In this work, we present a direction-of-arrival (DOA) estimation method for narrowband sources impinging from the far-field on a uniform linear array (ULA) of sensors, ba...
This article proposes a Bayesian infinite mixture model for the estimation of the conditional density of an ergodic time series. A nonparametric prior on the conditional density ...