Multi-city street-sidewalk imagery from pedestrian mobile cameras
Data files
Oct 26, 2020 version files 5.45 GB
Abstract
We present TerraFirma, a multi-city dataset which captures street and sidewalk imagery from the pedestrians' perspective. Motivated by challenges in the realm of pedestrian safety, we present a diverse and extensive dataset that provides a foundation for the design and validation of pedestrian safety systems that rely on street-sidewalk imagery. The data was collected by 9 volunteers in 4 metropolitan cities across the world. Volunteers carried mobile cameras or smartphones in a texting position, such that the rear camera was directed to the ground in front of them. TerraFirma classifies images by the material used for street/sidewalk construction in each city.
- Jain, Shubham (2020), Multi-city street-sidewalk imagery from pedestrian mobile cameras, Proceedings of the Third Workshop on Data: Acquisition To Analysis, Proceedings-article, https://doi.org/10.1145/3419016.3431486
- Jain, Shubham; Gruteser, Marco (2019), Recognizing Textures with Mobile Cameras for Pedestrian Safety Applications, IEEE Transactions on Mobile Computing, Journal-article, https://doi.org/10.1109/tmc.2018.2868659
