42 citations · 50 across the 13 of their papers we have counts for
15 papers
An Event Preserving Velocity Invariant Representation for Event Cameras
Mikihiro Ikura, Luna Gava, Jiahang Wu +2
Event cameras provide low-latency, high temporal resolution perception for real-time vision tasks such as robotics.The novel circuitry (i.e. asynchronous, independent pixels) that…
Neuromorphic Object Detection: An In-Depth Study and Future Directions
Jianing Li, Dianze Li, Arren Glover +5
Conventional frame-based cameras face significant challenges in detecting objects under high-speed motion blur or in low-light environments. Neuromorphic cameras provide asynchrono…
Event-based Motion & Appearance Fusion for 6D Object Pose Tracking
Zhichao Li, Chiara Bartolozzi, Lorenzo Natale +1
Object pose tracking is a fundamental and essential task for robotics to perform tasks in the home and industrial settings. The most commonly used sensors to do so are RGB-D camera…
GraphEnet: Event-driven Human Pose Estimation with a Graph Neural Network
Gaurvi Goyal, Pham Cong Thuong, Arren Glover +2
Human Pose Estimation is a crucial module in human-machine interaction applications and, especially since the rise in deep learning technology, robust methods are available to cons…
Lattice-allocated Real-time Line Segment Feature Detection and Tracking Using Only an Event-based Camera
Mikihiro Ikura, Arren Glover, Masayoshi Mizuno +1
Line segment extraction is effective for capturing geometric features of human-made environments. Event-based cameras, which asynchronously respond to contrast changes along edges,…
6-DoF Object Tracking with Event-based Optical Flow and Frames
Zhichao Li, Arren Glover, Chiara Bartolozzi +1
Tracking the position and orientation of objects in space (i.e., in 6-DoF) in real time is a fundamental problem in robotics for environment interaction. It becomes more challengin…
IMA-Catcher: An IMpact-Aware Nonprehensile Catching Framework based on Combined Optimization and Learning
Francesco Tassi, Jianzhuang Zhao, Gustavo J. G. Lahr +5
Robotic catching of flying objects typically generates high impact forces that might lead to task failure and potential hardware damages. This is accentuated when the object mass t…
An Event-Based Perception Pipeline for a Table Tennis Robot
Andreas Ziegler, Thomas Gossard, Arren Glover +1
Table tennis robots gained traction over the last years and have become a popular research challenge for control and perception algorithms. Fast and accurate ball detection is cruc…
Memory Efficient Corner Detection for Event-driven Dynamic Vision Sensors
Pao-Sheng Vincent Sun, Arren Glover, Chiara Bartolozzi +1
Event cameras offer low-latency and data compression for visual applications, through event-driven operation, that can be exploited for edge processing in tiny autonomous agents. R…
Fast Trajectory End-Point Prediction with Event Cameras for Reactive Robot Control
Marco Monforte, Luna Gava, Massimiliano Iacono +2
Prediction skills can be crucial for the success of tasks where robots have limited time to act or joints actuation power. In such a scenario, a vision system with a fixed, possibl…
PUCK: Parallel Surface and Convolution-kernel Tracking for Event-Based Cameras
Luna Gava, Marco Monforte, Massimiliano Iacono +2
Low latency and accuracy are fundamental requirements when vision is integrated in robots for high-speed interaction with targets, since they affect system reliability and stabilit…
LuvHarris: A Practical Corner Detector for Event-cameras
Arren Glover, Aiko Dinale, Leandro De Souza Rosa +2
There have been a number of corner detection methods proposed for event cameras in the last years, since event-driven computer vision has become more accessible. Current state-of-t…
Exploiting Event Cameras for Spatio-Temporal Prediction of Fast-Changing Trajectories
Marco Monforte, Ander Arriandiaga, Arren Glover +1
This paper investigates trajectory prediction for robotics, to improve the interaction of robots with moving targets, such as catching a bouncing ball. Unexpected, highly-non-linea…
ATIS + SpiNNaker: a Fully Event-based Visual Tracking Demonstration
Arren Glover, Alan B. Stokes, Steve Furber +1
The Asynchronous Time-based Image Sensor (ATIS) and the Spiking Neural Network Architecture (SpiNNaker) are both neuromorphic technologies that "unconventionally" use binary spikes…
Independent Motion Detection with Event-driven Cameras
Valentina Vasco, Arren Glover, Elias Mueggler +3
Unlike standard cameras that send intensity images at a constant frame rate, event-driven cameras asynchronously report pixel-level brightness changes, offering low latency and hig…