Next Article in Journal
Effects of Nanocylinders on the Whispering Gallery Modes in a Microcylinder
Next Article in Special Issue
A Highly Reliable and Cost-Efficient Multi-Sensor System for Land Vehicle Positioning
Previous Article in Journal
A High Performance Torque Sensor for Milling Based on a Piezoresistive MEMS Strain Gauge
Previous Article in Special Issue
Vision-Based Steering Control, Speed Assistance and Localization for Inner-City Vehicles

Vehicle Detection Based on Probability Hypothesis Density Filter

Robotics and Embedded Systems, Technische Universität München, 80333 München, Germany
Author to whom correspondence should be addressed.
Academic Editor: Felipe Jimenez
Sensors 2016, 16(4), 510;
Received: 7 January 2016 / Revised: 29 March 2016 / Accepted: 31 March 2016 / Published: 9 April 2016
(This article belongs to the Special Issue Sensors for Autonomous Road Vehicles)
In the past decade, the developments of vehicle detection have been significantly improved. By utilizing cameras, vehicles can be detected in the Regions of Interest (ROI) in complex environments. However, vision techniques often suffer from false positives and limited field of view. In this paper, a LiDAR based vehicle detection approach is proposed by using the Probability Hypothesis Density (PHD) filter. The proposed approach consists of two phases: the hypothesis generation phase to detect potential objects and the hypothesis verification phase to classify objects. The performance of the proposed approach is evaluated in complex scenarios, compared with the state-of-the-art. View Full-Text
Keywords: LiDAR; vehicle detection LiDAR; vehicle detection
Show Figures

Figure 1

MDPI and ACS Style

Zhang, F.; Knoll, A. Vehicle Detection Based on Probability Hypothesis Density Filter. Sensors 2016, 16, 510.

AMA Style

Zhang F, Knoll A. Vehicle Detection Based on Probability Hypothesis Density Filter. Sensors. 2016; 16(4):510.

Chicago/Turabian Style

Zhang, Feihu, and Alois Knoll. 2016. "Vehicle Detection Based on Probability Hypothesis Density Filter" Sensors 16, no. 4: 510.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop