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 +4 more
doaj +1 more source
A Formal and Quantifiable Log Analysis Framework for Test Driving of Autonomous Vehicles
Sensors, 2020 We propose a log analysis framework for test driving of autonomous vehicles. The log of a vehicle is a fundamental source to detect and analyze events during driving.
Kyungbok Sung +3 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 +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 +5 more
doaj +1 more source
Impact of Human-Centered Vestibular System Model for Motion Control in a Driving Simulator [PDF]
, 2021 This study presents a driving simulator experiment to evaluate three different motion cueing algorithms based on model predictive control. The difference among these motion strategies lies in the type of mathematical model used.
CHARDONNET, Jean-Rémy +3 more
core +1 more source
Comparing techniques to reduce simulator adaptation syndrome and improve naturalistic behaviour during simulated driving [PDF]
, 2009 Electrical stimulation of the vestibular sensory system during virtual environment simulations reduces the incidence of simulator adaptation syndrome (SAS).
Reed-Jones, William J +15 more
core +1 more source
Quantifying automated vehicle benefits in reducing driving stress: a simulation experiment approach
Frontiers in Future Transportation, 2023 Driving is a stressful activity because of the mental workload required to maneuver a vehicle in certain travel contexts, such as congested traffic, multi-modal networks requiring complex interaction with surrounding vehicles, and aggressive driving ...
Zulqarnain H. Khattak, Zhenhong Lin
doaj +1 more source
Review of Autonomous Intelligent Vehicles for Urban Driving and Parking
, 2021 With the concept of Internet-of-Things, autonomous vehicles can provide higher driving efficiency, traffic safety, and freedom for the driver to perform other tasks.
Cheng Siong Chin, Teck Kai Chan
core +1 more source
Research on driving behavior decision making system of autonomous driving vehicle based on benefit evaluation model [PDF]
Archives of Transport, 2020 Autonomous driving vehicle could increase driving efficiency, reduce traffic congestion and improve driving safety, it is considered as the solution of current traffic problems.
Pengwei Wang +4 more
doaj +1 more source
Map Validation for Autonomous Driving Systems [PDF]
, 2022 High-definition mapping is fundamental for self-driving vehicles. In this thesis we describe different approaches for online map validation whose goal is to verify if reality and map data are inconsistent.
Fabris, Andrea
core