TY - GEN
T1 - Elevated LiDAR Placement under Energy and Throughput Capacity Constraints
AU - Lucic, Michael C.
AU - Ghazzai, Hakim
AU - Massoud, Yehia
N1 - Generated from Scopus record by KAUST IRTS on 2022-09-13
PY - 2020/8/1
Y1 - 2020/8/1
N2 - Elevated LiDAR (ELiD) has the potential to hasten the deployment of Autonomous Vehicles (AV), as ELiD can reduce energy expenditures associated with AVs, and can also be utilized for other intelligent Transportation Systems applications such as urban 3D mapping. In this paper, we address the need for a planning framework in order for ITS operators to have an effective tool for determining what resources are required to achieve a desired level of coverage of urban roadways. To this end, we develop a mixed-integer nonlinear constrained optimization problem, with the aim of maximizing effective area coverage of a roadway, while satisfying energy and throughput capacity constraints. Due to the non-linearity of the problem, we utilize Particle Swarm Optimization (PSO) to solve the problem. After demonstrating its effectiveness in finding a solution for a realistic scenario, we perform a sensitivity analysis to test the model's general ability.
AB - Elevated LiDAR (ELiD) has the potential to hasten the deployment of Autonomous Vehicles (AV), as ELiD can reduce energy expenditures associated with AVs, and can also be utilized for other intelligent Transportation Systems applications such as urban 3D mapping. In this paper, we address the need for a planning framework in order for ITS operators to have an effective tool for determining what resources are required to achieve a desired level of coverage of urban roadways. To this end, we develop a mixed-integer nonlinear constrained optimization problem, with the aim of maximizing effective area coverage of a roadway, while satisfying energy and throughput capacity constraints. Due to the non-linearity of the problem, we utilize Particle Swarm Optimization (PSO) to solve the problem. After demonstrating its effectiveness in finding a solution for a realistic scenario, we perform a sensitivity analysis to test the model's general ability.
UR - https://ieeexplore.ieee.org/document/9184579/
UR - http://www.scopus.com/inward/record.url?scp=85090547979&partnerID=8YFLogxK
U2 - 10.1109/MWSCAS48704.2020.9184579
DO - 10.1109/MWSCAS48704.2020.9184579
M3 - Conference contribution
SN - 9781538629161
SP - 897
EP - 900
BT - Midwest Symposium on Circuits and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
ER -