Research
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Detection of abnormal driving situations using distributed representations and unsupervised learning
Publication · September 03, 2025
A Neuro-Inspired Computational Model for a Visually Guided Robotic Lamprey Using Frame and Event Based Cameras
Abstract
The computational load associated with computer vision is often prohibitive, and limits the capacity for on-board image analysis in compact mobile robots. Replicating the kind of feature detection and neural processing that animals exce...
Publication · September 03, 2025
A Novel Visible Light Positioning System With Event-Based Neuromorphic Vision Sensor
Abstract
With the advanced development of image processing technology, visible light positioning (VLP) system based on image sensors has attracted more and more attention. However, as a commonly used light receiver, traditional CMOS camera has l...
Publication · September 03, 2025
Zero Velocity Detector for Foot-mounted Inertial Navigation System Assisted by a Dynamic Vision Sensor
Abstract
In this paper, we proposed a novel zero velocity detector, the Dynamic-Vision-Sensor (DVS)-aided Stance Phase Optimal dEtection (SHOE) detector, for Zero-velocity-UPdaTe (ZUPT)-aided Inertial Navigation Systems (INS) augmented by a foot...
Publication · September 03, 2025
The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations
Abstract
Predicting future behavior of other traffic participants is an essential task that needs to be solved by automated vehicles and human drivers alike to achieve safe and situation-aware driving. Modern approaches to vehicles trajectory pr...
Publication · September 03, 2025
Event-Based Near-Eye Gaze Tracking Beyond 10,000 Hz
Abstract
The cameras in modern gaze-tracking systems suffer from fundamental bandwidth and power limitations, constraining data acquisition speed to 300 Hz realistically. This obstructs the use of mobile eye trackers to perform, e.g., low latenc...
Publication · September 03, 2025
NeuroAED: Towards Efficient Abnormal Event Detection in Visual Surveillance With Neuromorphic Vision Sensor
Abstract
Abnormal event detection is an important task in research and industrial applications, which has received considerable attention in recent years. Existing methods usually rely on standard frame-based cameras to record the data and proce...
Publication · September 03, 2025
AEStream: Accelerated event-based processing with coroutines
Abstract
Neuromorphic sensors imitate the sparse and event-based communication seen in biological sensory organs and brains. Today’s sensors can emit many millions of asynchronous events per second, which is challenging to process on conventiona...
Publication · September 03, 2025
Event-based dataset for classification and pose estimation
Abstract
We present a new data processing pipeline for automatically labelled stereo vision data. The method is based on 3D positioning of 3D printed props with active LED markers. It provides both RGB frame and event-based data, automatically a...
Publication · September 03, 2025
Neuromorphic Vision-Based Fall Localization in Event Streams With Temporal–Spatial Attention Weighted Network
Abstract
Falling down is a serious problem for health and has become one of the major etiologies of accidental death for the elderly living alone. In recent years, many efforts have been paid to fall recognition based on wearable sensors or stan...
Publication · September 03, 2025
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