TY - GEN
T1 - ViLDAR
T2 - 38th IEEE Sarnoff Symposium, Sarnoff 2017
AU - Abuella, Hisham
AU - Ekin, Sabit
AU - Uysal, Murat
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/23
Y1 - 2017/10/23
N2 - In this paper, we introduce Visible Light Detection and Ranging (ViLDAR): a novel speed estimation system that utilizes visible light variation during a known time difference. The use of light emitting diodes (LED) in vehicles lighting systems has become increasingly common in the automotive industry. Concurrently, monitoring drivers' speeds constitutes a critical issue for safety regulation agencies. Most of the speed monitoring systems are based on measuring the speed of vehicles using wellknown RADAR or LiDAR systems that use radio frequency or laser signals, respectively. However, these systems have certain limitations, e.g., the requirement of line-of-sight for accurate results in RADAR and LiDAR, and narrow beam-width and deficient performance in curved roads in RADAR. We present a simple as well as novel estimation method for the speed of an approaching vehicle given only the received light intensity information. Assuming a Lambertian channel model for the light wave propagation, the performance of the estimator is compared in different angle of incidences between the vehicle and the detector. The proposed method outperforms RADAR/LiDAR systems in terms of speed estimation accuracy for a wide range of incidence angles.
AB - In this paper, we introduce Visible Light Detection and Ranging (ViLDAR): a novel speed estimation system that utilizes visible light variation during a known time difference. The use of light emitting diodes (LED) in vehicles lighting systems has become increasingly common in the automotive industry. Concurrently, monitoring drivers' speeds constitutes a critical issue for safety regulation agencies. Most of the speed monitoring systems are based on measuring the speed of vehicles using wellknown RADAR or LiDAR systems that use radio frequency or laser signals, respectively. However, these systems have certain limitations, e.g., the requirement of line-of-sight for accurate results in RADAR and LiDAR, and narrow beam-width and deficient performance in curved roads in RADAR. We present a simple as well as novel estimation method for the speed of an approaching vehicle given only the received light intensity information. Assuming a Lambertian channel model for the light wave propagation, the performance of the estimator is compared in different angle of incidences between the vehicle and the detector. The proposed method outperforms RADAR/LiDAR systems in terms of speed estimation accuracy for a wide range of incidence angles.
KW - Curve fitting
KW - Lambertian channel model
KW - Police radar
KW - Speed estimation
KW - Visible light
UR - http://www.scopus.com/inward/record.url?scp=85040242908&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85040242908&partnerID=8YFLogxK
U2 - 10.1109/SARNOF.2017.8080383
DO - 10.1109/SARNOF.2017.8080383
M3 - Conference contribution
AN - SCOPUS:85040242908
T3 - 2017 IEEE 38th Sarnoff Symposium
BT - 2017 IEEE 38th Sarnoff Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 September 2017 through 20 September 2017
ER -