Data from the Development Evolution of a Vehicle for Custom Control

被引：6

作者：

Bunting, Matt ^{[1
]}

Bhadani, Rahul ^{[2
]}

Nice, Matt ^{[3
]}

Elmadani, Safwan ^{[2
]}

Sprinkle, Jonathan ^{[4
]}

机构：

[1] Vanderbilt Univ, Inst Software Integrated Syst, Nashville, TN USA

[2] Univ Arizona, Elect & Comp Engn, Tucson, AZ USA

[3] Vanderbilt Univ, Civil & Environm Engn, Nashville, TN USA

[4] Vanderbilt Univ, Comp Sci, Nashville, TN USA

来源：

2ND WORKSHOP ON DATA-DRIVEN AND INTELLIGENT CYBER-PHYSICAL SYSTEMS FOR SMART CITIES WORKSHOP (DI-CPS 2022) | 2022年

基金：

美国国家科学基金会;

关键词：

datasets; autonomous vehicles; traffic; control systems;

D O I：

10.1109/DI-CPS56137.2022.00013

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to develop custom controllers intended to operate vehicles on a live highway, a series of data collection-focused tests were performed at increasing stages of complexity. Modern vehicles with features like Adaptive Cruise Control (ACC) feature a rich set of sensors and drive-by-wire mechanisms. The presented stages of data collection begins with the analysis of raw data provided by various vehicles, and eventually results in spoofing Controller Area Network (CAN) protocols for sending control commands to operate a vehicle. This paper covers the data and technical efforts needed at various stages. The raw data and tools to plot the data are also publicly available.

引用

页码：40 / 46

页数：7

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