TY - GEN
T1 - OTMS
T2 - 17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020
AU - Bode, Justin
AU - Munir, Arslan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - Current automotive radar systems are designed to detect objects within an area around the vehicle and provide alerts or other driving assistance features to the driver. The main goal of these driving assistance systems is to increase safety of not only the driver but also increase safety for pedestrians on and around roadways. In this paper, we propose an on-board terrain mapping system (OTMS), which is an automotive radar-based system that extends the automotive safety goals to include mapping and vehicle-to-everything (V2X) communication. The proposed system utilizes a 94 GHz 3-dimensional (3D) pulsed radar to sense the environment around the vehicle and create a 3D model of the environment that can be sampled into a global database for mapping purposes. Objects are also detected and tracked within the model and can be used to provide assistive driving to the user even in adverse weather conditions. The model generated by the system can then be stored locally on the automobile or transmitted to other vehicles or infrastructure for use in mapping, navigation, and/or safety applications. The results validate that the OTMS is a valid system for providing safety and mapping functions for advanced driver assistance systems (ADAS).
AB - Current automotive radar systems are designed to detect objects within an area around the vehicle and provide alerts or other driving assistance features to the driver. The main goal of these driving assistance systems is to increase safety of not only the driver but also increase safety for pedestrians on and around roadways. In this paper, we propose an on-board terrain mapping system (OTMS), which is an automotive radar-based system that extends the automotive safety goals to include mapping and vehicle-to-everything (V2X) communication. The proposed system utilizes a 94 GHz 3-dimensional (3D) pulsed radar to sense the environment around the vehicle and create a 3D model of the environment that can be sampled into a global database for mapping purposes. Objects are also detected and tracked within the model and can be used to provide assistive driving to the user even in adverse weather conditions. The model generated by the system can then be stored locally on the automobile or transmitted to other vehicles or infrastructure for use in mapping, navigation, and/or safety applications. The results validate that the OTMS is a valid system for providing safety and mapping functions for advanced driver assistance systems (ADAS).
UR - http://www.scopus.com/inward/record.url?scp=85085482474&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85085482474&partnerID=8YFLogxK
U2 - 10.1109/CCNC46108.2020.9045231
DO - 10.1109/CCNC46108.2020.9045231
M3 - Conference contribution
AN - SCOPUS:85085482474
T3 - 2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020
BT - 2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 January 2020 through 13 January 2020
ER -