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Steven Roelofsen

4 accepted papers

2017

Collision avoidance with limited field of view sensing: A velocity obstacle approach

ICRA 2017poster

Collision avoidance, in particular between robots, is an important component for autonomous robots. It is a necessary component in numerous applications such as humanrobot interaction, automotive or unmanned aerial vehicles. While many collision avoidance algorithms take into account actuation const…

Cited by 22SourceScholar
2016

Environmental field estimation with hybrid-mobility sensor networks

ICRA 2016

The remarkable accessibility of modern flying robots makes them an attractive platform for environmental sensing. However, low cost and ease of use are currently incompatible with large payloads, severely limiting the choice of sensor and ultimately modality. This paper describes the design of a sys

Cited by 10SourceScholar
2016

Vision-based Unmanned Aerial Vehicle detection and tracking for sense and avoid systems

IROS 2016poster

We propose an approach for on-line detection of small Unmanned Aerial Vehicles (UAVs) and estimation of their relative positions and velocities in the 3D environment from a single moving camera in the context of sense and avoid systems. This problem is challenging both from a detection point of view…

Cited by 76SourceScholar
2015

Reciprocal collision avoidance for quadrotors using on-board visual detection

IROS 2015poster

In this paper we present a collision avoidance system based on visual detection. Our hardware consists of a Hummingbird quadrotor equipped with a large red marker with two built-in fish-eye cameras. Fusion of the measurements from the two cameras is done using a Gaussian-mixture probability hypothes…

Cited by 79SourceScholar