Transportation

This is the dataset provided and collected while "Car Hacking: Attack & Defense Challenge" in 2020. We are the main organizer of the competition along with Culture Makers and Korea Internet & Security Agency. We are very proud of releasing these valuable datasets for all security researchers for free.

The competition aimed to develop attack and detection techniques of Controller Area Network (CAN), a widely used standard of in-vehicle network. The target vehicle of competition was Hyundai Avante CN7.

This dataset presents collisions between a service robot - Qolo - and pedestrian dummies: male adult Hybrid-III (H3) and child model 3-years-old (Q3). We present a set of collision scenarios for the assessment of pedestrian safety, considering possible impacts at the legs for adult pedestrians, and legs, chest and head for children.

We disclose a traffic landmark dataset for detection.The dataset generated with our framework includes about 150,000 images and annotations of about 470,000 traffic landmarks.Our dataset was collected in an urban area of Seoul and suburban areas of Suwon, Hwaseong, Yongin, and Seongnam in South Korea at different times of the day.Images taken in the morning or evening included a large number of saturated areas due to exposure to direct sunlight.Most images taken under the light condition of the late evening was low-contrast.The images taken at noon included the reflection of the windshield

A criticality analysis dataset of the phenomenon occlusion on a T-intersection. Simulation was done using CARLA.