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2. WTS + AI City Challenge@ CVPR24
https://www.aicitychallenge.org/
WTSデータセットはAI City Challenge Track2のコンペ用データセットで利用される
Challenge Track 2: Traffic Safety Description and Analysis
This task revolves around the long fine-grained video captioning of traffic safety
scenarios, especially those involving pedestrian accidents. Leveraging multiple
cameras and viewpoints, participants will be challenged to describe the continuous
moment before the incidents, as well as the normal scene, captioning all pertinent
details regarding the surrounding context, attention, location, and behavior of the
pedestrian and vehicle. This task provides a new dataset WTS, featuring staged
accidents with stunt drivers and pedestrians in a controlled environment, and offers
a unique opportunity for detailed analysis in traffic safety scenarios. The analysis
result could be valuable for wide usage across industry and society, e.g., it could
lead to the streamlining of the inspection process in insurance cases and contribute
to the prevention of pedestrian accidents. More features of the dataset can be
referred to the dataset homepage
(https://woven-visionai.github.io/wts-dataset-homepage/). The top teams of this
task are planned to be invited and offered the opportunity to deploy and test
their solutions in Woven City after 2025 Summer.
https://www.aicitychallenge.org/2024-challenge-tracks/
Organization:
NVIDIA, Woven by Toyota, Johns Hopkins University,
IIT Kanpur, Australian National University, Santa Clara
University, University at Albany-SUNY