A Review of Testing Object-Based Environment Perception for Safe Automated Driving
Automotive Innovation, vol. 5, pp. 223–250
Abstract
Abstract Safety assurance of automated driving systems must consider uncertain environment perception. This paper reviews literature addressing how perception testing is realized as part of safety assurance. The paper focuses on testing for verification and validation purposes at the interface between perception and planning, and structures the analysis along the three axes (1) test criteria and metrics, (2) test scenarios, and (3) reference data. Furthermore, the analyzed literature includes related safety standards, safety-independent perception algorithm benchmarking, and sensor modeling. It is found that the realization of safety-oriented perception testing remains an open issue since challenges concerning the three testing axes and their interdependencies currently do not appear to be sufficiently solved.
Authors 3
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Affiliation as printed
Institute for Automotive Engineering, RWTH Aachen University, Aachen, Germany
Institute for Automotive Engineering, RWTH Aachen University, Steinbachstr. 7, 52074, Aachen, Germany
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Affiliation as printed
Institute for Automotive Engineering, RWTH Aachen University, Aachen, Germany
Institute for Automotive Engineering, RWTH Aachen University, Steinbachstr. 7, 52074, Aachen, Germany
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Affiliation as printed
Institute for Automotive Engineering, RWTH Aachen University, Aachen, Germany
Institute for Automotive Engineering, RWTH Aachen University, Steinbachstr. 7, 52074, Aachen, Germany
Cited by 70 stored of 71
Cited by patents worldwide 1 (Lens.org)
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End-to-end evaluation of perception systems for autonomous systems and applicationsUS12269488B2 2025-04-08 Active