Toward Prioritization of Test Infrastructure Investments for Proving Grounds to Test CAVs

Katzorke, Nils

doi:10.1109/iccve52871.2022.9742774

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…Many countries still do not allow the testing of autonomous vehicles on public roads. Therefore, in addition to limited road fragments, special places are prepared for the realization of experimental research of autonomous cars, such as: − the proving grounds for testing and validation of AVs in Zalaegerszeg (Hungary) and Immendingen (Germany) [85,86]; − proving grounds Mcity (Almono (Uber ATG)) and Kcity [13,87,88]; − proving grounds containing an oval track (such as KATRI-Korea Apparel Testing and Research Institute) [30]; − tracks used in car racing (Monza in Italy) [31]; − fragments of road infrastructure excluded from public traffic which have been specially…”

Section: Research Sitementioning

confidence: 99%

Research Scenarios of Autonomous Vehicles, the Sensors and Measurement Systems Used in Experiments

Prochowski

Szwajkowski

Ziubiński

2022

Sensors

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Automated and autonomous vehicles are in an intensive development phase. It is a phase that requires a lot of modelling and experimental research. Experimental research into these vehicles is in its initial state. There is a lack of findings and standardized recommendations for the organization and creation of research scenarios. There are also many difficulties in creating research scenarios. The main difficulties are the large number of systems for simultaneous checking. Additionally, the vehicles have a very complicated structure. A review of current publications allowed for systematization of the research scenarios of vehicles and their components as well as the measurement systems used. These include perception systems, automated response to threats, and critical situations in the area of road safety. The scenarios analyzed ensure that the planned research tasks can be carried out, including the investigation of systems that enable autonomous driving. This study uses passenger cars equipped with highly sophisticated sensor systems and localization devices. Perception systems are the necessary equipment during the conducted study. They provide recognition of the environment, mainly through vision sensors (cameras) and lidars. The research tasks include autonomous driving along a detected road lane on a curvilinear track. The effective maintenance of the vehicle in this lane is assessed. The location used in the study is a set of specialized research tracks on which stationary or moving obstacles are often placed.

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