TY - CHAP

T1 - Live Demonstration

T2 - IEEE Sensors, SENSORS 2020

AU - Kortmann, Felix

AU - Horstkotter, Julin

AU - Warnecke, Alexander

AU - Meier, Nicolas

AU - Heger, Jens

AU - Funk, Burkhardt

AU - Drews, Paul

PY - 2020/10/25

Y1 - 2020/10/25

N2 - The automation of vehicles is a major challenge and subject to many publications focusing on sensor systems, capable of receiving environmental information. As stated in the Society of Automotive Engineers (SAE) Vehicle Standard [1], automated driving level four to five requires observations of the environment to establish a continuous environment model, including road conditions. In our paper presented at IEEE Sensors 2019 [2], we propose a solution of measuring road conditions with vehicle on-board data utilizing a Vehicle Level Sensor (VLS) and an Acceleration Sensor (AS). The VLS is a standard component for vehicles with an automatic luminary width control for headlamp systems to ensure proper illumination and prevent glare for preceding and oncoming vehicles. Along with internet connectivity, the sensor system enables every vehicle of measuring road condition to potentially provide it to a cloud platform.

AB - The automation of vehicles is a major challenge and subject to many publications focusing on sensor systems, capable of receiving environmental information. As stated in the Society of Automotive Engineers (SAE) Vehicle Standard [1], automated driving level four to five requires observations of the environment to establish a continuous environment model, including road conditions. In our paper presented at IEEE Sensors 2019 [2], we propose a solution of measuring road conditions with vehicle on-board data utilizing a Vehicle Level Sensor (VLS) and an Acceleration Sensor (AS). The VLS is a standard component for vehicles with an automatic luminary width control for headlamp systems to ensure proper illumination and prevent glare for preceding and oncoming vehicles. Along with internet connectivity, the sensor system enables every vehicle of measuring road condition to potentially provide it to a cloud platform.

KW - Business informatics

KW - Informatics

UR - http://www.scopus.com/inward/record.url?scp=85098741079&partnerID=8YFLogxK

U2 - 10.1109/SENSORS47125.2020.9278776

DO - 10.1109/SENSORS47125.2020.9278776

M3 - Published abstract in conference proceedings

AN - SCOPUS:85098741079

SN - 978-1-7281-6802-9

T3 - IEEE Sensors Proceedings

BT - 2020 IEEE SENSORS Proceedings

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

CY - Piscataway

Y2 - 25 October 2020 through 28 October 2020

ER -