March 26, 2024, 4:41 a.m. | Shrihari Sridharan, Surya Selvam, Kaushik Roy, Anand Raghunathan

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.15717v1 Announce Type: new
Abstract: Event cameras have emerged as a promising sensing modality for autonomous navigation systems, owing to their high temporal resolution, high dynamic range and negligible motion blur. To process the asynchronous temporal event streams from such sensors, recent research has shown that a mix of Artificial Neural Networks (ANNs), Spiking Neural Networks (SNNs) as well as hybrid SNN-ANN algorithms are necessary to achieve high accuracies across a range of perception tasks. However, we observe that executing …

abstract algorithms arxiv asynchronous autonomous cameras cs.cv cs.lg dynamic edge event navigation platforms process research resolution sensing sensors systems temporal type vision

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

AIML - Sr Machine Learning Engineer, Data and ML Innovation

@ Apple | Seattle, WA, United States

Senior Data Engineer

@ Palta | Palta Cyprus, Palta Warsaw, Palta remote