activity
20162026
most citedDrone Detection Using a Low-Power Neuromorphic Virtual Tripwire

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Residual Kalman Dynamics for Event-Based UAV Forecasting

Per Nyblom, Hannes Ovrén, David Gustafsson

We study short- and mid-horizon UAV bounding-box forecasting on the FRED event-camera dataset. We use a constant-velocity Kalman filter over a full center-size box state as a stron…

cs.CV2025★ 2 cited

Drone Detection Using a Low-Power Neuromorphic Virtual Tripwire

Anton Eldeborg Lundin, Rasmus Winzell, Hanna Hamrell +2

Small drones are an increasing threat to both military personnel and civilian infrastructure, making early and automated detection crucial. In this work we develop a system that us…

cs.CV2018

Trajectory Representation and Landmark Projection for Continuous-Time Structure from Motion

Hannes Ovrén, Per-Erik Forssén

This paper revisits the problem of continuous-time structure from motion, and introduces a number of extensions that improve convergence and efficiency. The formulation with a $\ma…

cs.CV2018

Spline Error Weighting for Robust Visual-Inertial Fusion

Hannes Ovrén, Per-Erik Forssén

In this paper we derive and test a probability-based weighting that can balance residuals of different types in spline fitting. In contrast to previous formulations, the proposed s…

cs.CV2016

Efficient Multi-Frequency Phase Unwrapping using Kernel Density Estimation

Felix Järemo Lawin, Per-Erik Forssén, Hannes Ovrén

In this paper we introduce an efficient method to unwrap multi-frequency phase estimates for time-of-flight ranging. The algorithm generates multiple depth hypotheses and uses a sp…