Driving behavior explanation with multi-level fusion
نویسندگان
چکیده
In this era of active development autonomous vehicles, it becomes crucial to provide driving systems with the capacity explain their decisions. work, we focus on generating high-level explanations as vehicle drives. We present BEEF, for BEhavior Explanation Fusion, a deep architecture which explains behavior trajectory prediction model. Supervised by annotations human decisions justifications, BEEF learns fuse features from multiple levels. Leveraging recent advances in multi-modal fusion literature, is carefully designed model correlations between and mid-level perceptual features. The flexibility efficiency our approach are validated extensive experiments HDD BDD-X datasets.
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2022
ISSN: ['1873-5142', '0031-3203']
DOI: https://doi.org/10.1016/j.patcog.2021.108421