Datasets

subject: autonomous and connected vehicles

Total is 5 Results
Promoting Inclusive Design and Deployment of Connected and Automated Vehicles for Older Adults Through Education of Engineering Students

10.4231/28GB-5023

David W. Eby , Feng Zhou , Jennifer S. Zakrajsek ORCID logo , Lisa J. Molnar , Nicole Zanier , Ping Yi ORCID logo , Renée M. St. Louis

09/27/2023

Inclusiveness of CAVs for older adults via literature review, older adult outreach and graduate student experiential learning. Data include: reference list, outreach field notes/voting results/coding tables, student survey data/data dictionaries.

autonomous and connected vehicles ccat engineering students experiential learning human-centered design inclusive design older adults

River Obstacle Segmentation En-route By USV Dataset (ROSEBUD)

10.4231/MMJ2-NH88

Jalil Francisco Chavez Galaviz , Jianwen Li , Nina Mahmoudian ORCID logo , Reeve David Lambert ORCID logo , Zihan Wang

06/12/2022

This dataset contains stills from video taken on Sugar Creek and the Wabash River in the US state of Indiana. Images are hand annotated to provide training and testing data for semantic segmentation networks.

autonomous and connected vehicles deep learning Mechanical Engineering River Robotics semantic segmentation

Cooperative Control Mechanism for Platoon Formation of Connected and Autonomous Vehicles

10.4231/S6JE-ME83

Anye Zhou , Chaojie Wang , Jian Wang , Samuel Labi ORCID logo , Srinivas Peeta , Yu Wang

07/08/2022

The dataset of CCAT project "Cooperative Control Mechanism for Platoon Formation of Connected and Autonomous Vehicles"

Acceleration autonomous and connected vehicles ccat congestion

Multifront Approach for Improving Navigation of Autonomous and Connected Trucks

10.4231/2EEQ-3R20

Amir Kazemi , Aravind Ramakrishnan , Ashraf Alrajhi , Egemen Okte ORCID logo , Hadi Meidani , Hasan Ozer , Imad L. Al-Qadi , Jeffery R. Roesler , Rui Feng She , Sachindra Dahal , Yanfeng Ouyang

01/04/2022

This project have four different blocks. Block I: Real Time Optimization, Block II: Road Network Optimization of ACT Platoons, Block III: Resting Period and Pavement Damage, Block IV: Passive Sensing Paving Material

asphalt pavement autonomous and connected vehicles ccat Network Optimization Passive Sensing Platooning Truck platooning

Artificial Intelligence for Optimal Truck Platooning: Impact on Autonomous Freight Delivery

10.4231/JVXT-YQ42

Hadi Meidani , Tong Liu

09/05/2023

A data-driven surrogate model was proposed to predict the drag force and fuel-consumption rate of truck platoons.

autonomous and connected vehicles ccat Platooning Truck platooning

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