2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2026
DensePol: Dense-Angle Polarization Dataset for Learning-Based Polarimetric Vision
Param Sangani, Ahmad Moori, Erik Blasch +2
Polarimetric vision is gaining increasing attention because it provides physical cues about scene shape, material, and reflection that are difficult to recover from RGB alone. Rece…
eess.SP2025
Stone Soup: ADS-B-based Multi-Target Tracking with Stochastic Integration Filter
John Hiles, Jakub Matousek, Erik Blasch +3
This paper focuses on the multi-target tracking using the Stone Soup framework. In particular, we aim at evaluation of two multi-target tracking scenarios based on the simulated cl…
eess.SP2025★ 2 cited
Stochastic Integration Based Estimator: Robust Design and Stone Soup Implementation
Jindrich Dunik, Jakub Matousek, Ondrej Straka +3
This paper deals with state estimation of nonlinear stochastic dynamic models. In particular, the stochastic integration rule, which provides asymptotically unbiased estimates of t…