161 citations · 170 across the 3 of their papers we have counts for
4 papers
Reducing the Sim-to-Real Gap for Event Cameras
Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza +4
Event cameras are paradigm-shifting novel sensors that report asynchronous, per-pixel brightness changes called 'events' with unparalleled low latency. This makes them ideal for hi…
3D Sensing of a Moving Object with a Nodding 2D LIDAR and Reconfigurable Mirrors
Anindya Harchowdhury, Lindsay Kleeman, Leena Vachhani
Perception in 3D has become standard practice for a large part of robotics applications. High quality 3D perception is costly. Our previous work on a nodding 2D Lidar provides high…
Event-Based Motion Segmentation by Motion Compensation
Timo Stoffregen, Guillermo Gallego, Tom Drummond +2
In contrast to traditional cameras, whose pixels have a common exposure time, event-based cameras are novel bio-inspired sensors whose pixels work independently and asynchronously…
Simultaneous Optical Flow and Segmentation (SOFAS) using Dynamic Vision Sensor
Timo Stoffregen, Lindsay Kleeman
We present an algorithm (SOFAS) to estimate the optical flow of events generated by a dynamic vision sensor (DVS). Where traditional cameras produce frames at a fixed rate, DVSs pr…