Results 1 to 10 of about 462,929 (272)

HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology [PDF]

Leibniz Transactions on Embedded Systems, 2022
Convolutional neural networks (CNNs) have produced unprecedented accuracy for many computer vision problems in the recent past. In power and compute-constrained embedded platforms, deploying modern CNNs can present many challenges. Most CNN architectures
Vemparala, Manoj-Rohit, Fasfous, Nael, Frickenstein, Alexander, Valpreda, Emanuele, Camalleri, Manfredi, Zhao, Qi, Unger, Christian, Nagaraja, Naveen-Shankar, Martina, Maurizio, Stechele, Walter   +9 more
doaj   +1 more source

A Nationwide Impact Assessment of Automated Driving Systems on Traffic Safety Using Multiagent Traffic Simulations

IEEE Open Journal of Intelligent Transportation Systems, 2022
The objective of this paper is to propose a methodology to estimate nationwide traffic safety impacts of automated vehicle technologies using multi-agent traffic simulations.
Sou Kitajima, Hanna Chouchane, Jacobo Antona-Makoshi, Nobuyuki Uchida, Jun Tajima   +4 more
doaj   +1 more source

Study on Kirigami honeycomb generation for complicated structures

Nihon Kikai Gakkai ronbunshu, 2023
Here we propose a new method to generate Kirigami honeycomb for complicated structures. Although commercially available honeycombs have the same cross-section as standard, Nojima and Saito firstly showed honeycombs could be curved by using the Kirigami ...
Luis DIAGO, Junichi SHINODA, Keiko YAMAZAKI, Ichiro HAGIWARA   +3 more
doaj   +1 more source

Development of Risk-Situation Scenario for Autonomous Vehicles on Expressway Using Topic Modeling

Journal of Advanced Transportation, 2022
Growing interest has recently been paid to the development of autonomous vehicle scenarios, and corresponding research is being conducted on various methodologies and on the generation of scenarios including technological elements.
Osung Chae, Junghwa Kim, Jeongah Jang, Hyunjeong Yun, Shinkyung Lee   +4 more
doaj   +1 more source

DiT-SLAM: Real-Time Dense Visual-Inertial SLAM with Implicit Depth Representation and Tightly-Coupled Graph Optimization

Sensors, 2022
Recently, generating dense maps in real-time has become a hot research topic in the mobile robotics community, since dense maps can provide more informative and continuous features compared with sparse maps. Implicit depth representation (e.g., the depth
Mingle Zhao, Dingfu Zhou, Xibin Song, Xiuwan Chen, Liangjun Zhang   +4 more
doaj   +1 more source

Dual channel transmission for reliable V2X broadcasting messages

IET Communications, 2021
A Vehicle to Anything (V2X) packet data is used for a vehicle safety and automated driving applications. It is broadcasted periodically to provide a warning message or share the vehicular sensor's data among vehicles.
Hyun Seo Oh, Do Wook Kang, Yoo Seung Song   +2 more
doaj   +1 more source

A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition [PDF]

, 2020
open access articleDetecting and classifying driver distractions is crucial in the prevention of road accidents. These distractions impact both driver behavior and vehicle dynamics.
Al-Bayatti, Ali Hilal, Alfakeeh, A.S., Aliyu, Suleiman, Alsayed, A.O., Fasanmade, Adebamigbe, He, Ying, Morden, J.N.   +6 more
core   +2 more sources

Fuel Efficient High-Density Platooning Using Future Conditions Prediction

IEEE Open Journal of Intelligent Transportation Systems, 2022
A promising application of cooperative driving is high-density platooning, which main goal is to reduce fuel consumption by driving with inter-vehicle distances below ten meters.
Guillaume Jornod, Andreas Pfadler, Sofia Carreira, Ahmad El Assaad, Thomas Kurner   +4 more
doaj   +1 more source

Deep Learning Approaches Based on Transformer Architectures for Image Captioning Tasks

IEEE Access, 2022
This paper focuses on visual attention, a state-of-the-art approach for image captioning tasks within the computer vision research area. We study the impact that different hyperparemeter configurations on an encoder-decoder visual attention architecture ...
Roberto Castro, Israel Pineda, Wansu Lim, Manuel Eugenio Morocho-Cayamcela   +3 more
doaj   +1 more source

Lane Transformer: A High-Efficiency Trajectory Prediction Model

IEEE Open Journal of Intelligent Transportation Systems, 2023
Trajectory prediction is a crucial step in the pipeline for autonomous driving because it not only improves the planning of future routes, but also ensures vehicle safety.
Zhibo Wang, Jiayu Guo, Zhengming Hu, Haiqiang Zhang, Junping Zhang, Jian Pu   +5 more
doaj   +1 more source