Papers
2
Total Citations
1,577
H-Index
2
About
Wang De is a leading figure in autonomous vehicle perception, best known for creating the widely adopted Argoverse dataset. His research centers on 3D object tracking and motion forecasting, critical components for enabling self-driving cars to understand and navigate dynamic environments. De’s seminal work, "Argoverse: 3D Tracking and Forecasting With Rich Maps," has garnered over 1,400 citations, reflecting its profound impact on the field. This dataset provides researchers with rich sensor data from autonomous fleets in Pittsburgh and Miami, complete with 3D tracking annotations and detailed maps, setting a new standard for benchmarking algorithms. A related publication, also on Argoverse, has accumulated over 150 additional citations. By offering high-quality, real-world data, De has empowered countless teams to develop and test more robust perception systems. His contributions have not only advanced academic research but have also accelerated practical progress in autonomous driving, making him a pivotal figure in the quest for safer, more reliable self-driving technology.
Research Focus
Key Achievements
Top Papers
- 1Argoverse: 3D Tracking and Forecasting With Rich Maps1,420 citations · 2019
- 2Argoverse: 3D Tracking and Forecasting with Rich Maps157 citations · 2019