FHWA Ear Project: Outside Vehicle and Interior Analysis Set
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下载链接:
https://dataverse.vtti.vt.edu/citation?persistentId=doi:10.15787/VTT1/VM5QXR
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资源简介:
This dataset was created as a follow-on to doi:10.15787/VTT1H590, Automated Feature Extraction Data Sets: Event Record and Seatbelt Usage Data. This dataset consists of the following six sections. 1. Blurred interior cabin snapshot images from 701 designated events. ORNL selected these events based on seatbelt usage and the number of people in the image based on the ground truth in the Event Detail Table (EDT) provided in the original study. Since the blurred images were obtained at long intervals, the images in this dataset are not necessarily concurrent with the actual 20-30 second front video clip described in the EDT, but they are from the same trip. Based on cabin snapshot availability, images were selected in the following order of preference: during the event, before the event, and after the event. 2. Dash camera video from 1186 events selected by ORNL based on hands-on-wheel criteria, turns, and hand-reaching as specified in the EDT. These videos are time-concurrent with the corresponding 20-30 second front video clip denoted in the EDT. 3. Face data, radar time series, extended time series, extended GPS data, and front camera video for selected cases of red light violations from the EDT at the time of May 2015. This consisted of 141 events which ORNL identified by filtering Driver Behavior 1, 2, and 3 to include the following signal violations: "Apparently did not see signal;" "Intentionally disregarded signal;" and "Tried to beat signal change." The face data and GPS data for crashes was only accessed in VTTI's secure enclave. The time series and GPS data for near crashes included data 2 minutes prior to event completion. 4. Radar and lane tracker time series data from 1997 designated events. ORNL selected these events based on vehicle behavior, both the driver and the outside vehicles, for research in detecting and characterizing baseline behavior, aggressive behavior by the driver, aggressive behavior by the surrounding vehicles, distracted driving, and the relative traffic density based on events from the EDT. These time series data were concurrent with the corresponding 20-30 second front video clip denoted in the EDT. 5. Rear camera videos for 198 designated events. ORNL selected these events based on rear-end collisions, tailgating, and baseline behavior observed on events found in the EDT. These videos corresponded to the 20-30 second front video clip denoted in the EDT. 6. Face camera videos for 1998 designated events. ORNL selected these events based on distraction, drowsiness, looking about the vehicle, eating, erratic or non-standard behavior, and other face-related data noted in the EDT. ORNL accessed these videos in VTTI's secure data enclave and processed the data to extract facial landmark points and non-identifying motion data.
提供机构:
Virginia Tech Transportation Institute
创建时间:
2015-10-30



