Tunnel Inspection Demo (Fukushima, December 2024)

  • Date: December 2024
  • Location: Fukushima Robot Test Field, Japan
  • Description: In winter 2024, the CERLAB team ran several demonstrations at the Fukushima Robot Test Field. I was responsible for the dynamic obstacle avoidance parts of the demonstration in a full-scale tunnel, using the LiDAR UAV and the dynamic obstacle detection and tracking module I developed. The UAV used LIO-based positioning and an integrated LiDAR-camera sensor suite for real-time dynamic object detection and tracking, and navigated the tunnel safely in the presence of both static and dynamic obstacles deliberately placed to simulate real-world conditions.
  • Role and Contribution:
    • Responsible for the dynamic obstacle avoidance parts of the Winter 2024 Fukushima demonstration.
    • Developed the dynamic obstacle detection and tracking module.
    • Implemented dynamic removal to assist building the global occupancy map.
    • Validated in the tunnel with static and dynamic obstacles.
  • Demo Video:Google Drive

Tech Stack

Hardware

  • LiDAR
  • Intel RealSense D435i
  • PX4 IMU
  • PX4 flight controller
  • NVIDIA Jetson Orin NX
  • Wi-Fi + telemetry

Software

  • Ubuntu 20.04 LTS
  • ROS Noetic
  • PX4 Autopilot
  • FAST-LIO2
  • C++
  • Python

Key Features

Autonomous navigation

Navigates complex environments without GPS, using LiDAR and visual sensors for real-time localisation and mapping.

High odometry frequency

FAST-LIO2 fused with the PX4 IMU raises the odometry rate, giving accurate and stable flight control.

Light-weight design

Optimised for minimal weight, extending flight duration and improving manoeuvrability.

Modular architecture

Hardware and software components can be upgraded or maintained independently.