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We study the problem of minimizing total latency in machine scheduling with deliveries, which is defined as follows. There is a set of n jobs to be processed by a single machine a...
The study of vehicular ad-hoc networks (VANETs) requires efficient and accurate simulation tools. As the mobility of vehicles and driver behavior can be affected by network messag...
A psycho-physical vehicle-following model tries to capture both the physical and human components of congested-traffic simulations. These models determine the reactions of the veh...
Within a few years, nearly every vehicle that General Motors (GM) manufactures will have a microcontroller network known as GMLAN. A few GM vehicles already have the GMLAN network...
After the 9/11 event, terrorist attacks related to vehicles cannot be overlooked. In some critical areas, security should be concerned from the context of streets or vehicle moveme...
A monocular vision based location algorithm is presented to detect and track rear vehicles for lane change assist. The algorithm uses the shadow underneath the vehicle to extract ...
Wei Liu, Chunyan Song, Pengyu Fu, Nan Wang, Huai Y...
– Using measurements from VanLAN, a modest-size testbed that we have deployed, we analyze the fundamental characteristics of WiFi-based connectivity between basestations and vehi...
This demonstration aims to show the decentralized coordination of the navigation system of highly autonomous Automated Guided Vehicles (AGVs) integrated in a real industrial envir...
We propose a real-time computer vision system that enables a UGV to safely cross urban road-intersections. Specifically, when the UGV approaches the stop sign at a 4-way intersec...
Javed Ahmed, Mubarak Shah, Andrew Miller, Don Harp...
This paper presents a method I for tracking and segmenting vehicles in a traffic scene. The approach is based on a frame to frame segmentation followed by a tracking process. As op...