Drivers’ Mental Engagement Analysis Using Multi-Sensor Fusion Approaches Based on Deep Convolutional Neural Networks by Taraneh Aminosharieh Najafi, Antonio Affanni, Roberto Rinaldo, Pamela Zontone

“…In this paper, we present a comprehensive assessment of individuals’ mental engagement states during manual and autonomous driving scenarios using a driving simulator. …”
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One-Stage Brake Light Status Detection Based on YOLOv8 by Geesung Oh, Sejoon Lim

“…Despite the advancement of advanced driver assistance systems (ADAS) and autonomous driving systems, surpassing the threshold of level 3 of driving automation remains a challenging task. …”
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Autoplant—Autonomous Site Preparation and Tree Planting for a Sustainable Bioeconomy by Linnea J. Hansson, Gustav Sten, Morgan Rossander, Håkan Lideskog, Jussi Manner, Ruben van Westendorp, Songyu Li, Anders Eriksson, Anna Wallner, Mikael Rönnqvist, Patrik Flisberg, Björn Edlund, Björn Möller, Magnus Karlberg

“…The concept comprises several subsystems, i.e., regeneration and route planning, autonomous driving (path planning), new technology for forest regeneration with minimal environmental impact, automatic plant management, crane motion planning, detection of planting spots, and follow-up. …”
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smartPlastic: Innovative Touch-Based Human-Vehicle Interface Sensors for the Automotive Industry by Cristiano Alves, Tiago Custódio, Pedro Silva, Jorge Silva, Carlos Rodrigues, Rui Lourenço, Rui Pessoa, Fernando Moreira, Ricardo Marques, Gonçalo Tomé, Gabriel Falcao

“…It focuses on a particular case study, namely the control of opening and closing windows and rotation of the rear-view mirrors of a car, maintaining all of the functionality and introducing a futuristic and appealing design inline with new autonomous driving vehicles. For this purpose, distinct low-cost touch sensor technologies were evaluated and the performance of several types of sensors that were integrated with plastic polymers of distinct thickness was analyzed. …”
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Survey on Multi-Task Learning in Smart Transportation by Mohammed Alzahrani, Qianlong Wang, Weixian Liao, Xuhui Chen, Wei Yu

“…As one of the typical smart systems empowered by AI and Internet of Things (IoT) technologies, the smart transportation system has made dramatic progress for traditional transportation in numerous aspects, including autonomous driving, smart traffic lights, navigation, and traffic forecasting, among others. …”
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How to Design the eHMI of AVs for Urgent Warning to Other Drivers with Limited Visibility? by Dokshin Lim, Yongwhee Kwon

“…As eHMIs tend to be applied for smarter mobility, it is expected that they will be more effective in preventing accidents if the eHMI is standardized in autonomous driving level 2 to 3 vehicles driven by humans before fully autonomous driving becomes a reality.…”
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Vehicle Localization System in Urban Scenario with Three-Dimensional City Map by Jiali Bao, Yanlei Gu, Shunsuke Kamijo

“…Accurate self-localization is a critical problem in the autonomous driving system. In this paper, we proposed a localization system which integrates stereo camera and three-dimensional city model containing building and road mark information. …”
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System for 3D Mapping using Affordable LIDAR by V. Krsmanović, M. Barjaktarović, A. Gavrovska

“…Moreover, it can provide many possibilities for future experiments with surrounding mappings, image matching, autonomous driving, obstacle observation, collision avoidance, material type detection such as transparent ones.…”
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Lossy compression of matrices by black box optimisation of mixed integer nonlinear programming by Tadashi Kadowaki, Mitsuru Ambai

“…Abstract In edge computing, suppressing data size is a challenge for machine learning models that perform complex tasks such as autonomous driving, in which computational resources (speed, memory size and power) are limited. …”
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Novel Map Platform based on Primitive Elements of Traffic Environments for Automated Driving Technologies by Takuma Ito, Masahiro Mio, Kyoichi Tohriyama, Minoru Kamata

“…As a result of experiments for confirming the feasibility of our system, we completed autonomous driving on a test course with several temporary stops and left turns.…”
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Vision and odometry based autonomous vehicle lane changing by Gábor Péter, Bálint Kiss, Viktor Tihanyi

“…Autonomous driving is an old desire of mankind. The main purpose of this article is to present an autonomous lane changing method, that enables fully automated lane changing if given safety criteria are met. …”
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Development of Evaluating Methods for Passenger’s Motion Sickness in Real Driving Environment by Shizuka Bando, Yuri Shiogai, Akinari Hirao

“…With the commercialization of autonomous driving technology and diversification of how passengers spend their time, it is concerned that a mismatch between somatosensory and visual information induces motion sickness. …”
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Rare traffic sign detection with synthetic images and multiple classifiers by Loke, Yen Chin

“…Detecting rare traffic signs is important for various applications such as autonomous driving, creation of city maps, and road maintenance, as they can provide useful information regarding the surroundings to aid driving decision-making. …”
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Object obstacle detection using stixel approximation by Muhammad Iswandi Ismail

“…There has been an increasing demand for autonomous driving system in the past decades of studies and numerous initiations have been proposed towards achieving this goal for the benefits of the users especially road users and the pedestrians’ safety. …”
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Social spaces on wheels by Dai, Orion Yuhui

“…With the revolutionary autonomous driving technology, as well as deep learning technology, I hope to create a new environment, a new space for people to travel, one that is adaptive to the people’s needs, allowing them to maximise the use of their time while travelling.…”
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Robust and light-weight simultaneous localization and mapping for autonomous vehicles by Wang, Han

“…Thorough experiments are performed on both outdoor autonomous driving and indoor warehouse robot manipulation. …”
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Deep learning-based interaction-aware trajectory prediction for autonomous vehicles by Mo, Xiaoyu

“…Predicting future trajectories of surrounding agents and conducting motion planning based on interaction predictions are of great importance for ensuring the safety and efficiency of autonomous driving in real-world scenarios, especially under critical driving scenarios. …”
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Intelligent network connection technology based on 5G intelligent highway by Liu Qi, Xu Xingrong, Zeng Chuanxin, Song Meng, Wang Tiejing, Liang Yinggang

“…The rapid development of 5G intelligent network technology provides important technical support for improving the travel efficiency of autonomous driving in intelligent transportation systems and reducing the risk of collisions. …”
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Design of Monitoring Solution for IP Network Quality Optimization by Xu HUANG, Meng-hong CHENG, Zhi-yan CHENG

“…The proposed design can both improve the quality of services, and further enhance the existing network's " autonomous driving" capabilities.…”
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Driving Safe Speed Estimation Based on Outside Environment Vision Analysis by Alexey Kashevnik, Ammar Ali

“…With the recent evolution of machine learning, driver assistant systems, and autonomous driving the necessity for dynamic speed limits are raised. …”
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