… traffic accidents that covered abundant scenes. After integration and annotation by various
dimensions, a large-scale traffic accidents … on image classification, object detection, and video …

… traffic scenarios of sub-continent countries. To this end, we present CARL-D, a large-scale
dataset and benchmark … services to mitigate road accidents and fatalities by replacing the …

… new benchmark for analyzing causality in traffic accident videos by decomposing an accident
into a pair of events, cause and effect. We collect videos containing traffic accident scenes …

… exhaustive evaluations on two large scale datasets, ie, the AnAn Accident Detection (A3D) …
datasets as the comparison benchmark, ie, the AnAn Accident Detection (A3D) dataset [3] …

… Note that detailed analysis, such as occlusion rates, data statistics, and burden comparisons,
are areas of extensive study in the pedestrian detection field. In 2012, the KITTI benchmark …

… with pedestrians, especially for traffic scenes at nighttime where it is hard to ensure enough
illumination. For instance, about 78 percent of fatal traffic accidents occur at nighttime [5], …

… constructed a largescale driver attention … the accident prediction or detection from different
views. For instance, Kataoka et al. [14], [15] and Chan et al. [16] anticipated the traffic accident …

… the largest scale compared with existing datasets according to Table 2. Accident datasets …
TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillance. arXiv …

… In addition, we also provide a critical review of 31 publicly available benchmarks and related
evaluation metrics. Through this survey, we want to spawn new insights and open possible …

… In our analysis we focus on crash detection, using only the crashes that were officially
reported for validation. We use these additional labels to ensure our training data is free of …