Presentation + Paper
15 May 2019 Modeling and simulation of leader-follower autonomous vehicles: environment effects
Sridhar Lakshmanan, Yuedong Yan, Stan Baek, Hesham Alghodhaifi
Author Affiliations +
Abstract
In this paper, we present results obtained through simulation of connected-autonomous semi-trucks that are operating in a leader-follower configuration. Autonomy is enabled in this configuration with a very lean sensor package on each truck, precision global positioning system (GPS), radar-based automated cruise control system (ACC), and dedicated short-range vehicle-to-vehicle communication system (DSRC). Our simulation includes modeling the operating environment, namely, the high-speed test track at the American Center for Mobility (ACM); the sensors, namely, GPS, ACC, and DSRC; and vehicle dynamics of semi-trucks. Simulation results in this paper are focused on measuring the safety margin of the follower semi-truck under different environmental conditions. We studied adverse weather and measured the decrease in safety margins with the increase in precipitation.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sridhar Lakshmanan, Yuedong Yan, Stan Baek, and Hesham Alghodhaifi "Modeling and simulation of leader-follower autonomous vehicles: environment effects", Proc. SPIE 11021, Unmanned Systems Technology XXI, 110210J (15 May 2019); https://doi.org/10.1117/12.2520485
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Safety

Global Positioning System

Sensors

Roads

Radar

Control systems

Unmanned vehicles

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