ELEV8

Status: Submitted

Rapid Digital Elevation Mapping with Event Cameras to reconstruct dynamic mountain environments in near-real-time.

event-based vision DEM UAV mountain hazards real-time mapping

ELEV8 – Rapid Digital Elevation Mapping with Event Cameras – develops a new generation of Digital Elevation Models (DEMs) for rapidly changing mountain environments.

We combine event-based vision sensors, UAV platforms, and real-time onboard computing to move from slow, light-sensitive terrain mapping to robust, near–real-time elevation reconstruction—even in shadows, snow, and high-contrast conditions.

Scientific Goals

  • High-frequency updates: Enable near real-time DEM updates for dynamic landscapes like glaciers and landslides.
  • Efficiency: Significantly reduce processing time and computational cost compared to classical photogrammetry.
  • Accuracy: Achieve decimetric vertical accuracy comparable to SfM and LiDAR.
  • Dynamic Observation: Shift DEMs from static products to continuously observable variables.

Methodology

  1. Hybrid Event + RGB Approach: UAVs carry both sensors. Event data are used to constrain and accelerate feature matching, resulting in a 10× reduction in matching complexity.
  2. Pure Event-based Reconstruction: Elevation is inferred directly from asynchronous event streams using UAV motion and temporal super-resolution. FPGA-based onboard processing allows for DEM generation during flight.

Key Innovations

  • Strengths from Weaknesses: Especially through the use of event cameras, converting traditional sampling weaknesses into strengths.
  • Dynamic Signal Exploitation: Using shadows and contrast changes as useful signals rather than noise.
  • Temporal Super-Resolution: Using UAV motion to create subpixel “virtual resolution.”
  • Efficiency: Real-time processing with low-latency, energy-efficient hardware.

Team Members