Deepti Rawat

I'm a PhD student in Computer Science at IIIT Hyderabad, working with Prof. Ravi Kiran Sarvadevabhatla in the Center for Visual Information Technology (CVIT). My research focuses on addressing safety challenges in autonomous systems, particularly in unstructured navigation scenarios.

My work leverages perceptual cues to develop learning-based solutions for real-world scenarios. This includes traffic violation detection for two-wheelers, context-aware modeling of riders and motorcycles in occluded traffic scenarios, and designing framework to probe Vision LLMs' capabilities in understanding diverse road conditions. Broadly, my goal is to achieve trustable autonomous driving systems.

Outside of research, I enjoy running, reading, and spending time with friends.

News

Mar, 2025	Our work RoadSocial got accepted at CVPR 2025. Stay tuned to know more!
Feb, 2025	Our work DashCop got accepted at WACV 2025

Selected publications

DashCop: Automated E-Ticket Generation for Two-Wheeler Traffic Violations using Dashcam Videos

Deepti Rawat, Keshav Gupta, Aryamaan Basu Roy, and Ravi Kiran Sarvadevabhatla

In Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Feb 2025

Project Page arXiv Bib

@inproceedings{Rawat_2025_WACV,
  author = {Rawat, Deepti and Gupta, Keshav and Roy, Aryamaan Basu and Sarvadevabhatla, Ravi Kiran},
  title = {DashCop: Automated E-Ticket Generation for Two-Wheeler Traffic Violations using Dashcam Videos},
  booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
  month = feb,
  year = {2025},
  pages = {5387-5397},
  project_page = {https://dash-cop.github.io/}
}

myEye2Wheeler: A Two-Wheeler Indian Driver Real-World Eye-Tracking Dataset

Bhaiya Vaibhaw Kumar, Deepti Rawat, Tanvi Kandalla, Aarnav Nagariya, and Kavita Vemuri

In Proceedings of the International Conference on Intelligent Transportation Systems (ITSC) Feb 2024

arXiv