May 8, 2024, 4:42 a.m. | Dingrui Wang, Zheyuan Lai, Yuda Li, Yi Wu, Yuexin Ma, Johannes Betz, Ruigang Yang, Wei Li

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.04100v1 Announce Type: cross
Abstract: Emergent-scene safety is the key milestone for fully autonomous driving, and reliable on-time prediction is essential to maintain safety in emergency scenarios. However, these emergency scenarios are long-tailed and hard to collect, which restricts the system from getting reliable predictions. In this paper, we build a new dataset, which aims at the long-term prediction with the inconspicuous state variation in history for the emergency event, named the Extro-Spective Prediction (ESP) problem. Based on the proposed …

arxiv behavior cs.cv cs.lg emergency esp long-term prediction reasoning type

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