[论文解读] Synergistic Event-SVE Imaging for Quantitative Propellant Combustion Diagnostics

Jing Tao, Taihang Lei+6 more|arXiv (Cornell University)|Mar 26, 2026

Energetic Materials and Combustion被引用 0

一句话总结

论文提出一个闭环SVE–立体事件相机系统，将以 combustion-tailored HDR 与事件驱动的微秒级感知融合，在烟雾遮挡的HDR条件下量化基于硼的推进剂燃烧，实现3D颗粒分离高度和等效半径测量。

ABSTRACT

Real-time monitoring of high-energy propellant combustion is difficult. Extreme high dynamic range (HDR), microsecond-scale particle motion, and heavy smoke often occur together. These conditions drive saturation, motion blur, and unstable particle extraction in conventional imaging. We present a closed-loop Event--SVE measurement system that couples a spatially variant exposure (SVE) camera with a stereo pair of neuromorphic event cameras. The SVE branch produces HDR maps with an explicit smoke-aware fusion strategy. A multi-cue smoke-likelihood map is used to separate particle emission from smoke scattering, yielding calibrated intensity maps for downstream analysis. The resulting HDR maps also provide the absolute-intensity reference missing in event cameras. This reference is used to suppress smoke-driven event artifacts and to improve particle-state discrimination. Based on the cleaned event observations, a stereo event-based 3D pipeline estimates separation height and equivalent particle size through feature extraction and triangulation (maximum calibration error 0.56%). Experiments on boron-based propellants show multimodal equivalent-radius statistics. The system also captures fast separation transients that are difficult to observe with conventional sensors. Overall, the proposed framework provides a practical, calibration-consistent route to microsecond-resolved 3D combustion measurement under smoke-obscured HDR conditions.

研究动机与目标

• Motivate real-time, microsecond-accurate monitoring of high-energy propellant combustion.
• Develop a combustion-specific HDR fusion method to separate particle emission from smoke scattering.
• Couple HDR context with event-based sensing to suppress smoke-driven artifacts.
• Extract 3D particle separation height and equivalent radius using stereo event-based metrology.
• Validate calibration, cross-sensor consistency, and statistical particle-size distributions.

提出的方法

• Integrate a spatially variant exposure (SVE) camera with a stereo pair of neuromorphic event cameras in a calibrated setup.
• Form a multi-exposure HDR image using a smoke-aware, region-wise fusion guided by a probabilistic smoke-likelihood map.
• Use an intensity-prior from the HDR fusion to guide event-based particle extraction and gating.
• Estimate 3D particle position via stereo triangulation and compute separation height using a defined axial direction of the propellant column.
• Compute an equivalent radius from the physically-scaled, contour-based particle area across stereo views.
• Apply a pinhole-based scaling model to convert pixel measurements to physical units.

实验结果

研究问题

• RQ1 How can combustion-specific HDR fusion improve separation of particle radiance from smoke scattering in extreme HDR environments?
• RQ2 Can intensity-guided event processing, informed by HDR priors, yield robust microsecond-scale particle detection under dense smoke?
• RQ3 What is the accuracy of stereo-event-based triangulation for separation height and equivalent particle size in boron-based propellant combustion?
• RQ4 Does the integrated SVE–event system provide calibration-consistent, microsecond-resolved 3D combustion measurements in smoke-obscured HDR conditions?

主要发现

• The fusion method yields higher edge preservation (Average Gradient) in particle- and structure-dominant regions than prior methods, supporting improved contour extraction.
• The stereo event-camera system achieves a maximum relative error of 0.56% in calibration-based validation targets, enabling reliable 3D reconstruction.
• The system captures lift-off events and synchronized trajectories with microsecond temporal resolution and through dense smoke where frame-based sensors struggle.
• HDR priors from SVE guidance reduce smoke-driven event artifacts and improve particle-state discrimination in the event stream.
• Equivalent-radius statistics are reported for boron-based particles, derived from stereo-confirmed contours and physically scaled areas.