Over recent years, the Vehicle-Road-Cloud Integration System (VRCIS) and Intelligent and
Connected Vehicles (ICVs) have gained significant attention in the realm of autonomous …

Given a delimited surveillance area, represented in either 2D or 3D, and a set of feasible
camera locations and orientations, the optimal camera placement problem (OCP) is that of …

Principal component analysis is a widely used method for the dimensionality reduction of a
given data set in a high-dimensional Euclidean space. Here we define and analyze two …

There is a clear trend in camera networks toward enhanced functionality and flexibility, and
a fixed static deployment is typically not sufficient to fulfill these increased requirements …

Efficient placement of cameras to perform surveillance tasks has a significant impact on the
overall performance as well as cost of video surveillance systems. Identifying an optimal …

This paper proposes a camera placement framework that incorporates characteristics of
complex construction jobsites. The proposed framework consists of three main processes:(1) …

Current approaches for optimizing the placement of roadside LiDAR (RSL) at constructed
highways work on handcrafted scenes which fail to precisely map real-world situations. This …

Increasing use of Advanced Driver Assistance Systems (ADAS) in autonomous vehicles is
rising the demand for advanced perception systems. With more sensors being placed on the …

Abstract Information of construction entity identity and real-time location reveals where
specific construction resources are at any given time and thus is a critical prerequisite to the …

Modeling camera coverage is essential in many visual sensor applications. Particularly in
visual surveillance, planning the coverage modeling is critical to estimate the coverage and …