Zhenyu Wu

Zhenyu Wu

Ph.D. student · mmWave radar sensing, robotic perception & state estimation

Multimodal sensing platform

This platform brings together mmWave radar, LiDAR, a camera and an IMU for repeatable multimodal data collection. I worked on system integration, hardware synchronization and the acquisition workflow.

Handheld sensing rig

Multimodal rig with a TI radar and DCA1000 acquisition board, camera and Livox Avia LiDAR
The handheld multimodal sensing platform.

Sensors & acquisition

  • Radar: TI AWR1843BOOST with DCA1000EVM for raw ADC capture.
  • LiDAR: Livox Avia.
  • Additional sensing: industrial camera and IMU.
  • Synchronization: a self-built hardware synchronizer provides a common timing reference for timestamp alignment.
  • Workflow: coordinated acquisition, extrinsic calibration, offline data checks and visualization.

Wearable collection configuration

Wearable sensor collection backpack with mounted sensing devices
The collection backpack shown in the research presentation.

Research use

The platform provides a data-collection foundation for radar–inertial sensing and multi-sensor fusion experiments. The photographs document the system configuration; no synchronization-accuracy or localization benchmark is claimed here.

See also the mobile-robot platform and radar acquisition tools.