Work

MURAL: A Multi-Resolution Anytime Framework for LiDAR Object Detection Deep Neural Networks

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)

DOI: 10.1109/rtcsa66114.2025.00014

Authors: Ahmet Soyyigit, Shuochao Yao, Heechul Yun

Institutions: University of Kansas, George Mason University

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Award: CSR: Small: Collaborative Research: Real-Time Computing Infrastructure for Integrated CPU-GPU SoC Platforms

OpenAlex ID: W7084147129

FWCI: 1.57

Cites: 29

Cited by: 2

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