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      Lane Detection Method with Impulse Radio Ultra-Wideband Radar and Metal Lane Reflectors

      research-article
      Sensors (Basel, Switzerland)
      MDPI
      lane detection, impulse radio, UWB (ultra-wideband), radar, metal lane, lane departure warning

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          Abstract

          An advanced driver-assistance system (ADAS), based on lane detection technology, detects dangerous situations through various sensors and either warns the driver or takes over direct control of the vehicle. At present, cameras are commonly used for lane detection; however, their performance varies widely depending on the lighting conditions. Consequently, many studies have focused on using radar for lane detection. However, when using radar, it is difficult to distinguish between the plain road surface and painted lane markers, necessitating the use of radar reflectors for guidance. Previous studies have used long-range radars which may receive interference signals from various objects, including other vehicles, pedestrians, and buildings, thereby hampering lane detection. Therefore, we propose a lane detection method that uses an impulse radio ultra-wideband radar with high-range resolution and metal lane markers installed at regular intervals on the road. Lane detection and departure is realized upon using the periodically reflected signals as well as vehicle speed data as inputs. For verification, a field test was conducted by attaching radar to a vehicle and installing metal lane markers on the road. Experimental scenarios were established by varying the position and movement of the vehicle, and it was demonstrated that the proposed method enables lane detection based on the data measured.

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          Most cited references37

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          A Detailed Algorithm for Vital Sign Monitoring of a Stationary/Non-Stationary Human through IR-UWB Radar

          The vital sign monitoring through Impulse Radio Ultra-Wide Band (IR-UWB) radar provides continuous assessment of a patient’s respiration and heart rates in a non-invasive manner. In this paper, IR UWB radar is used for monitoring respiration and the human heart rate. The breathing and heart rate frequencies are extracted from the signal reflected from the human body. A Kalman filter is applied to reduce the measurement noise from the vital signal. An algorithm is presented to separate the heart rate signal from the breathing harmonics. An auto-correlation based technique is applied for detecting random body movements (RBM) during the measurement process. Experiments were performed in different scenarios in order to show the validity of the algorithm. The vital signs were estimated for the signal reflected from the chest, as well as from the back side of the body in different experiments. The results from both scenarios are compared for respiration and heartbeat estimation accuracy.
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            Signal Processing for Improved Detection of Trapped Victims Using UWB Radar

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              Real-time illumination invariant lane detection for lane departure warning system

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                06 January 2020
                January 2020
                : 20
                : 1
                : 324
                Affiliations
                ICT Based Public Transportation Research Team, Korea Railroad Research Institute, Uiwang 16105, Korea; daehyunkim@ 123456krri.re.kr ; Tel.: +82-31-460-5790
                Author information
                https://orcid.org/0000-0002-0300-1995
                Article
                sensors-20-00324
                10.3390/s20010324
                6982763
                31935964
                6fd986bc-13d0-4eb3-bd10-bf9e402986f7
                © 2020 by the author.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 03 December 2019
                : 04 January 2020
                Categories
                Article

                Biomedical engineering
                lane detection,impulse radio,uwb (ultra-wideband), radar,metal lane,lane departure warning

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