Viet Hoang Pham

Papers

Total Citations

265

H-Index

About

Viet Hoang Pham is a leading researcher in machine learning, computer vision, and autonomous driving, best known for his foundational contributions to large-scale perception datasets. He is the primary creator of the **A2D2 (Audi Autonomous Driving Dataset)** , a landmark resource that provides simultaneously recorded images and 3D point clouds with precise 3D bounding box annotations. With **over 265 citations**, this dataset has become a critical benchmark for advancing research in mobile robotics and self-driving technology, enabling the development and validation of robust perception models. Pham’s work directly addresses the industry’s need for high-quality, multimodal annotated data, accelerating progress in object detection, scene understanding, and sensor fusion. His contributions have been widely adopted by both academia and industry, shaping the trajectory of autonomous vehicle research. By bridging the gap between raw sensor data and actionable annotations, Pham has established himself as a key enabler of safer, more intelligent autonomous systems.