Event-based multi-view photogrammetry for high-dynamic, high-velocity target measurement

TL;DR

This paper introduces an event-based multi-view photogrammetric system that accurately measures high-velocity, high-dynamic targets by leveraging spatiotemporal event data, addressing limitations of traditional methods in dynamic range and cost.

Contribution

The paper presents a novel event-based multi-view photogrammetry approach that improves high-speed target measurement accuracy and reduces costs compared to existing techniques.

Findings

Achieved 4.47% measurement deviation in tests

Effectively extracts target features using event monotonicity

Provides more data than traditional intersection methods

Abstract

The characterization of mechanical properties for high-dynamic, high-velocity target motion is essential in industries. It provides crucial data for validating weapon systems and precision manufacturing processes etc. However, existing measurement methods face challenges such as limited dynamic range, discontinuous observations, and high costs. This paper presents a new approach leveraging an event-based multi-view photogrammetric system, which aims to address the aforementioned challenges. First, the monotonicity in the spatiotemporal distribution of events is leveraged to extract the target's leading-edge features, eliminating the tailing effect that complicates motion measurements. Then, reprojection error is used to associate events with the target's trajectory, providing more data than traditional intersection methods. Finally, a target velocity decay model is employed to fit the data, enabling accurate motion measurements via ours multi-view data joint computation. In a light gas gun fragment test, the proposed method showed a measurement deviation of 4.47% compared to the electromagnetic speedometer.