Method and Device for Loss Evaluation to Automated Driving

Abstract

Provided are methods and devices for loss evaluation to automated driving. The method includes: taking classes or localizations of observations as tasks of an automated driving model; correcting loss of each of the observations based on real-world scenarios in driving practice. In the present disclosure, the evaluation of algorithms in automated driving can be set with true realistic value in real world scenario; and rectify the misalignment from using of generic evaluation methods to algorithms used in automated driving scenarios.

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