Bengaluru Driving Dataset (OCTraN)

Aditya N G
Dhruval P B
Harshith M K
Priya S S
Dr. Surabhi Narayan
adityang5@gmail.com
dhruvalpb@gmail.com
hiharshith18@gmail.com
sspriya147@gmail.com
surabhinarayan@pes.edu

Department of Computer Science, PES University, Bengaluru
Spotlight presentation at CVPR's T4V 2023

[Paper]
[Video]
[Code]



We gathered a dataset spanning 114 minutes and 165K frames in Bengaluru, India. Our dataset consists of video data from a calibrated camera sensor with a resolution of 1920×1080 recorded at a framerate of 30 Hz. We utilize a Depth Dataset Generation pipeline that only uses videos as input to produce high-resolution disparity maps


Paper and Bibtex

[Paper]

Citation
 
Aditya N Ganesh, Dhruval Pobbathi Badrinath, Harshith Mohan Kumar, Priya S, and Surabhi Narayan. Octran: 3d occupancy convolutional transformer network in unstructured traffic scenarios. Spotlight Presentation at the Transformers for Vision Workshop, CVPR, 2023. Transformers for Vision Workshop, CVPR 2023

[Bibtex]
@misc{analgund2023octran,
  title={Bengaluru Driving Dataset: 3D Occupancy Convolutional Transformer Network in Unstructured Traffic Scenarios},
  author={Ganesh, Aditya N and Pobbathi Badrinath, Dhruval and
    Kumar, Harshith Mohan and S, Priya and Narayan, Surabhi
  },
  year={2023},
  howpublished={Spotlight Presentation at the Transformers for Vision Workshop, CVPR},
  url={https://sites.google.com/view/t4v-cvpr23/papers#h.enx3bt45p649},
  note={Transformers for Vision Workshop, CVPR 2023}
}
                


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