This paper proposes an efficient road structure recognition method using statistical
characteristics of received signals in automotive frequency-modulated continuous wave …

Map** stationary objects and tracking moving targets are essential for many autonomous
functions in vehicles. In order to compute the map and track estimates, sensor …

This paper presents stereo vision–based vehicle detection approach on the road using a
road feature and disparity histogram. It is not easy to detect only vehicles robustly on the …

Guardrails are critical boundary infrastructures protecting against road departures and traffic
collisions. The presence and condition information of in-service guardrails are essential for …

In order to establish a reliable map of the road environment, this paper aims to classify the
stationary and moving objects unlike the previous researches which generally focus on …

Recently, radar technology has attracted attention for the realization of an intelligent
transportation system (ITS) to monitor, track, and manage vehicle traffic on the roads as well …

In this paper, we propose a novel iron-tunnel recognition method to overcome the
deterioration of the target or vehicle detection performance due to iron-tunnel clutters …

The detection and tracking of extended targets is a challenging problem. The accuracy of the
detections and the tracking is dependent on the granularity and the quality of the data …

This paper presents an extended target tracking framework which uses polynomials in order
to model extended objects in the scene of interest from imagery sensor data. State-space …

In this paper, an enhanced high-density clutter recognition and suppression method for
automotive frequency-modulated continuous wave (FMCW) radar systems are presented. In …