Davi Frossard
Papers
1
Total Citations
8
H-Index
1
About
Davi Frossard is a researcher at the forefront of 3D perception for autonomous systems, with a primary focus on real-time object detection from LiDAR data. His most notable contribution is the development of **StrObe** (Streaming Object Detection from LiDAR Packets), a groundbreaking approach that challenges conventional batch-processing methods. Instead of waiting for a full 360° sweep, StrObe processes LiDAR data packet-by-packet as it arrives from rolling shutter sensors, dramatically reducing latency. This innovation is critical for safety-critical applications like autonomous driving, where every millisecond counts. With 8 citations, this 2020 work has already influenced the design of low-latency perception pipelines. Frossard’s research sits at the intersection of efficient sensor processing, geometric deep learning, and real-time robotics. His work demonstrates a keen understanding of the hardware-software interface, enabling systems to "see" faster without sacrificing accuracy. For students and engineers building the next generation of autonomous vehicles, Frossard’s approach offers a compelling blueprint for marrying streaming data with robust detection.
Research Focus
Key Achievements
Top Papers
- 1StrObe: Streaming Object Detection from LiDAR Packets8 citations · 2020