Results 1 to 10 of about 3,936,457 (202)

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

Cooperative Transit Signal Priority Considering Bus Stops Under Adaptive Signal Control

IEEE Access, 2023
Cooperative transit signal priority (CTSP), which integrates cellular vehicle-to-everything (C-V2X) technology, can improve the efficiency of connected transit vehicles at signalized intersections.
Changlong Zhang, Xiaodong Yang, Jimin Wei, Shuo Yang, Jingang Dai, Shibo Qu   +5 more
doaj   +1 more source

Power system parameters matching of in-wheel motor drive electric vehicle [PDF]

E3S Web of Conferences, 2021
Based on the line-controlled chassis platform, the low-speed outer rotor motor is used to drive the wheel directly in the designed in-wheel motor line-controlled electric vehicle.
Ren Wei Chen, Fang Yi, Li Xiao Peng, Xu Zheng, Wang Xu Long   +4 more
doaj   +1 more source

Classification of Drivers with HIV-Associated Neurocognitive Disorders using Virtual Driving Test Performance Data

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023
In this work we focus on the problem of identifying drivers with neurocognitive impairment (NCI), specifically an NCI specific to people with HIV (PWH) called HIV-associated neurocognitive disorders (HAND) directly from driving simulator data.
David Grethlein, Venk Kandadai, Will Dampier   +2 more
doaj   +1 more source

Optimization of On-Demand Shared Autonomous Vehicle Deployments Utilizing Reinforcement Learning

Sensors, 2022
Ride-hailed shared autonomous vehicles (SAV) have emerged recently as an economically feasible way of introducing autonomous driving technologies while serving the mobility needs of under-served communities.
Karina Meneses-Cime, Bilin Aksun Guvenc, Levent Guvenc   +2 more
doaj   +1 more source

Implementation of a V2P-Based VRU Warning System With C-V2X Technology

IEEE Access, 2023
Cellular vehicle-to-everything(C-V2X) technology can protect vulnerable road users(VRUs) in traffic accidents. Smartphones are the most common portable devices for VRUs, but they do not support direct communication between vehicles and pedestrians.
Changlong Zhang, Jimin Wei, Shibo Qu, Changying Huang, Jingang Dai, Peipei Fu, Zhixiong Wang, Xinquan Li   +7 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

Vehicle State Estimation and Prediction for Autonomous Driving in a Round Intersection

Vehicles, 2023
This paper presents methods for vehicle state estimation and prediction for autonomous driving. A round intersection is chosen for application of the methods and to illustrate the results as autonomous vehicles have difficulty in handling round ...
Xinchen Li, Levent Guvenc, Bilin Aksun-Guvenc   +2 more
doaj   +1 more source

Multi-Objective Digital PID Controller Design in Parameter Space and its Application to Automated Path Following

IEEE Access, 2021
This paper presents a multi-objective digital PID controller design method using the parameter space approach of robust control. Absolute stability is treated first by finding the digital PID controller gain parameter space corresponding to closed loop ...
Haoan Wang, Sukru Yaren Gelbal, Levent Guvenc   +2 more
doaj   +1 more source

Comfort and Safety in Conditional Automated Driving in Dependence on Personal Driving Behavior

IEEE Open Journal of Intelligent Transportation Systems, 2023
When changing from active driving to conditional automated driving (CAD), the question arises whether users still prefer their own driving behavior while being a passenger.
Laurin Vasile, Naramsen Dinkha, Barbara Seitz, Christoph Dasch, Dieter Schramm   +4 more
doaj   +1 more source