Abstract
Pedestrian safety is one of the major tasks of automotive radars. Pedestrian detection in practical urban scenarios is challenging task due to the strong vertical and horizontal multipath phenomena from the asphalt roads and surrounding buildings, proximity to other obstacles with highradar cross section, and high probability of blockage by other targets. This work addresses the problem of joint pedestrian detection and classification in a practical urban environment by a 24 GHz FMCW automotive radar. The urban RF environment consisting of the asphalt road, vehicles and pedestrian was simulated. Micro-Doppler analysis was used to discriminate between pedestrians, vehicles, and animals. A variety of human activities, including mixed motion sequences were tested in target classification simulations.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE Radar Conference |
| Subtitle of host publication | From Sensing to Information, RadarCon 2014 |
| Pages | 1237-1240 |
| Number of pages | 4 |
| DOIs | |
| State | Published - 1 Jan 2014 |
| Externally published | Yes |
| Event | 2014 IEEE Radar Conference, RadarCon 2014 - Cincinnati, OH, United States Duration: 19 May 2014 → 23 May 2014 |
Publication series
| Name | IEEE National Radar Conference - Proceedings |
|---|
Conference
| Conference | 2014 IEEE Radar Conference, RadarCon 2014 |
|---|---|
| Country/Territory | United States |
| City | Cincinnati, OH |
| Period | 19/05/14 → 23/05/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 11 Sustainable Cities and Communities
ASJC Scopus subject areas
- Electrical and Electronic Engineering
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