Sudesh Mirashi

Papers

1

Total Citations

265

H-Index

1

About

Sudesh Mirashi is a leading researcher at the intersection of machine learning, mobile robotics, and autonomous driving, best known for spearheading the creation of the Audi Autonomous Driving Dataset (A2D2). Published in 2020, this landmark work has garnered over 265 citations and provides the research community with a rich, multimodal resource of simultaneously recorded images and 3D point clouds, complete with precise 3D bounding box annotations. By addressing the critical need for high-quality, labeled data in autonomous vehicle development, Mirashi’s contribution has become a foundational benchmark for training and evaluating perception models. The A2D2 dataset accelerates progress in scene understanding, sensor fusion, and safe navigation, enabling researchers to push the boundaries of self-driving technology. Mirashi’s work exemplifies how open, rigorous data curation can democratize access to complex real-world scenarios, fostering innovation across academia and industry. For students and researchers entering the field, Mirashi’s dataset remains an essential resource, bridging the gap between theoretical algorithms and practical deployment in autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
265
Total Citations
265
Avg Citations/Paper
🏆 Most Cited Paper
A2D2: Audi Autonomous Driving Dataset
265 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 18

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago