LEADER 04308nam 22007335 450 001 9910746969003321 005 20231004093530.0 010 $a3-031-43763-2 024 7 $a10.1007/978-3-031-43763-2 035 $a(MiAaPQ)EBC30771290 035 $a(CKB)28464914700041 035 $a(Au-PeEL)EBL30771290 035 $a(DE-He213)978-3-031-43763-2 035 $a(PPN)272915025 035 $a(EXLCZ)9928464914700041 100 $a20231004d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence and Smart Vehicles $eFirst International Conference, ICAISV 2023, Tehran, Iran, May 24-25, 2023, Revised Selected Papers /$fedited by Mehdi Ghatee, S. Mehdi Hashemi 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (230 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1883 311 $a9783031437625 320 $aIncludes bibliographical references and index. 327 $aLocal and Global Contextual Features Fusion for Pedestrian Intention Prediction -- Routes analysis and dependency detection based on traffic volume: a deep learning approach -- Road Sign Classification using Transfer Learning and Pre-Trained CNN Models -- Improving Safe Driving with Diabetic Retinopathy Detection -- A Bibliometric Analysis on Artificial Intelligence and Smart Vehicles -- Convolutional Neural Network and Long Short Term Memory on Inertial Measurement Unit sensors for Gait Phase Detection -- Real-time mobile mixed-character license plate recognition via deep learning convolutional neural network -- Evaluation of Drivers? Hazard Perception in Simultaneous Longitudinal and Lateral Control of Vehicle Using a Driving Simulator -- Driver Identification by An Ensemble of CNNs Obtained from Majority-Voting Model Selection -- State-of-the-Art Analysis of the Performance of the Sensors Utilized in Autonomous Vehicles in Extreme Conditions -- Semantic Segmentation using Events and Combination of Events and Frames -- Deep learning-based concrete crack detection using YOLO architecture -- Generating Control Command for an Autonomous Vehicle Based on Environmental Information -- Fractal-Based Spatiotemporal Predictive Model for Car Crash Risk Assessment. 330 $aThis book constitutes the refereed proceedings of the First International Conference on Artificial Intelligence and Smart Vehicles, ICAISV 2023, held in Tehran, Iran, during May 24-25, 2023. The 14 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows: machine learning, data mining, machine vision, image processing, signal analysis, decision support systems, expert systems, and their applications in smart vehicles. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1883 606 $aArtificial intelligence 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aSignal processing 606 $aComputer networks 606 $aMachine learning 606 $aArtificial Intelligence 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aSignal, Speech and Image Processing 606 $aComputer Communication Networks 606 $aMachine Learning 615 0$aArtificial intelligence. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aSignal processing. 615 0$aComputer networks. 615 0$aMachine learning. 615 14$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aSignal, Speech and Image Processing . 615 24$aComputer Communication Networks. 615 24$aMachine Learning. 676 $a670.28563 676 $a629.046 702 $aGhatee$b Mehdi 702 $aHashemi$b S. Mehdi 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910746969003321 996 $aArtificial Intelligence and Smart Vehicles$93595879 997 $aUNINA