Autonomous vessels: state of the art and potential opportunities in logistics
The growth in technology on autonomous transportation systems is currently motivating a
number of research initiatives. This paper first presents a survey of the literature on …
number of research initiatives. This paper first presents a survey of the literature on …
Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems
A Boukerche, Y Tao, P Sun - Computer networks, 2020 - Elsevier
In recent years, the Intelligent transportations system (ITS) has received considerable
attention, due to higher demands for road safety and efficiency in highly interconnected road …
attention, due to higher demands for road safety and efficiency in highly interconnected road …
Vision-based autonomous vehicle recognition: A new challenge for deep learning-based systems
A Boukerche, X Ma - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Vision-based Automated Vehicle Recognition (VAVR) has attracted considerable attention
recently. Particularly given the reliance on emerging deep learning methods, which have …
recently. Particularly given the reliance on emerging deep learning methods, which have …
Multialgorithm fusion image processing for high speed railway dropper failure–defect detection
P Tan, X Li, Z Wu, J Ding, J Ma, Y Chen… - … on Systems, Man …, 2019 - ieeexplore.ieee.org
The dropper is one of the core components of the high speed railway catenary and dropper
failure will lead to serious transportation accidents. It is very important to carry out dropper …
failure will lead to serious transportation accidents. It is very important to carry out dropper …
Energy-saving optimization and control of autonomous electric vehicles with considering multiconstraints
Y Zhang, Z Ai, J Chen, T You, C Du… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The energy utilization efficiency of autonomous electric vehicles is seriously affected by the
longitudinal motion control performance. However, the longitudinal motion control is …
longitudinal motion control performance. However, the longitudinal motion control is …
Collision and deadlock avoidance in multirobot systems: A distributed approach
Collision avoidance is a critical problem in motion planning and control of multirobot
systems. Moreover, it may induce deadlocks during the procedure to avoid collisions. In this …
systems. Moreover, it may induce deadlocks during the procedure to avoid collisions. In this …
Feature selection based on tensor decomposition and object proposal for night-time multiclass vehicle detection
Night-time vehicle detection is essential in building intelligent transportation systems (ITS)
for road safety. Most of current night-time vehicle detection approaches focus on one or two …
for road safety. Most of current night-time vehicle detection approaches focus on one or two …
Fast Iris localization using Haar-like features and AdaBoost algorithm
Traditional iris recognition methods, which are still preferred against artificial intelligence (AI)
approaches in practical applications, are often required to capture high-grade iris samples …
approaches in practical applications, are often required to capture high-grade iris samples …
Green-Tech CAV: Next Generation Computing for Traffic Sign and Obstacle Detection in Connected and Autonomous Vehicles
In recent years, advanced technologies are used in automobiles, which make it simpler to
drive on roads. However, driving is not trouble-free considering the unexpected hindrances …
drive on roads. However, driving is not trouble-free considering the unexpected hindrances …
Detection of big animals on images with road scenes using deep learning
D Yudin, A Sotnikov, A Krishtopik - … International Conference on …, 2019 - ieeexplore.ieee.org
The recognition of big animals on the images with road scenes has received little attention in
modern research. There are very few specialized data sets for this task. Popular open data …
modern research. There are very few specialized data sets for this task. Popular open data …