Exploring the Viability of Bypassing the Image Signal Processor for CNN-Based Object Detection in Autonomous Vehicles-Reference-Cited by-同舟云学术

Exploring the Viability of Bypassing the Image Signal Processor for CNN-Based Object Detection in Autonomous Vehicles

Published:2023 Issue: Volume:11 Page:42302-42313
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Cahill Jordan¹^ORCID,Parsi Ashkan²^ORCID,Mullins Darragh¹,Horgan Jonathan³,Ward Enda³,Eising Ciarán⁴^ORCID,Denny Patrick⁴,Deegan Brian¹^ORCID,Glavin Martin¹,Jones Edward¹

Affiliation:

1. Department of Electrical and Electronic Engineering, University of Galway, Galway 091, Ireland

2. Xperi, Parkmore East, Galway, Ireland

3. Valeo Vision Systems, Tuam, Galway, Ireland

4. Department of Electronic and Computer Engineering, University of Limerick, Limerick 061, Ireland

Funder

Science Foundation Ireland

Southern and Eastern Regional Operational Program to Lero-the Science Foundation Ireland Research Centre for Software

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10111503.pdf?arnumber=10111503

Reference40 articles.

1. Object recognition from local scale-invariant features

2. Energy characterization and optimization of image sensing toward continuous mobile vision

3. On the Use of Feature Descriptors on Raw Image Data

4. Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression

5. Minimalistic Image Signal Processing for Deep Learning Applications

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DAN-YOLO: A Lightweight and Accurate Object Detector Using Dilated Aggregation Network for Autonomous Driving;Electronics;2024-08-27

2. Optimizing Camera Exposure Time for Automotive Applications;Sensors;2024-08-08