• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 58 matches

• 2025
• 
  Gulnaz Gimaletdinova, Dim Shaiakhmetov, Madina Akpaeva, Mukhammadmuso Abduzhabbarov, Kadyrmamat Momunov:
  Training A Neural Network For Partially Occluded Road Sign Identification In The Context Of Autonomous Vehicles. CoRR abs/2503.18177 (2025)
• 
  Haowen Xu, Yulin Sun, Jose Tupayachi, Olufemi A. Omitaomu, Sisi Zlatanova, Xueping Li:
  Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol. CoRR abs/2506.13068 (2025)
• 2024
• 
  Korbinian Hagn:
  Training and Validation of Visual Perception Functions for Autonomous Driving with Synthetic Data. University of Kiel, Germany, 2024
• 
  Mohammed Chelouati:
  Contributions to safety assurance of autonomous trains. (Contributions à l'assurance de sécurité des trains autonomes). Gustave Eiffel University, Champs-sur-Marne, France, 2024
• 
  Kathy Jang:
  From Simulation to the Real World: Deep Reinforcement Learning for Training Robust, Wave-Smoothing Policies for Autonomous Vehicles. University of California Berkeley, USA, 2024
• 
  Mohammed Chelouati, Abderraouf Boussif, Julie Beugin, El-Miloudi El-Koursi:
  A Risk-Based Decision-Making Process for Autonomous Trains Using POMDP: Case of the Anti-Collision Function. IEEE Access 12: 5630-5647 (2024)
• 
  Wangyang Liu, Qingsheng Feng, Shuai Xiao, Hong Li:
  Automatic Tracking Control Strategy of Autonomous Trains Considering Speed Restrictions: Using the Improved Offline Deep Reinforcement Learning Method. IEEE Access 12: 75426-75441 (2024)
• 
  Emily J. Morey, Kevin Galvin, Thomas Riley, R. Eddie Wilson:
  Application of soft systems methodology to frame the challenges of integrating autonomous trains within a legacy rail operating environment. Syst. Eng. 27(2): 326-337 (2024)
• 
  Lorenzo Barruffo, Bianca Caiazzo, Alberto Petrillo, Stefania Santini:
  A GoA4 Control Architecture for the Autonomous Driving of High-Speed Trains Over ETCS: Design and Experimental Validation. IEEE Trans. Intell. Transp. Syst. 25(6): 5096-5111 (2024)
• 
  Ying Zhao, Bing Bu, Jingda Gao:
  Method to Analyze the Dependability of Wireless Transmission in Train Autonomous Operation System. ITSC 2024: 2895-2900
• 
  Tong Yao, Wei Yuan, Songan Zhang, Chunxiang Wang:
  Balanced Training for the End-to-End Autonomous Driving Model Based on Kernel Density Estimation. IV 2024: 2361-2366
• 
  Hao Bai, Yifei Zhou, Jiayi Pan, Mert Cemri, Alane Suhr, Sergey Levine, Aviral Kumar:
  DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning. NeurIPS 2024
• 
  Hao Bai, Yifei Zhou, Mert Cemri, Jiayi Pan, Alane Suhr, Sergey Levine, Aviral Kumar:
  DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning. CoRR abs/2406.11896 (2024)
• 2023
• 
  Yu Shen:
  Learning-based Autonomous Driving with Enhanced Data Efficiency and Policy Training. University of Maryland, College Park, MD, USA, 2023
• 
  Violet Mwaffo, Dillon Miller, Donald H. Costello:
  Assessing the Predictive Performance of Two DNN Models: A Comparative Analysis to Support Reusing Training Weights for Autonomous Aerial Refueling Missions. IEEE Access 11: 92070-92079 (2023)
• 
  Fatemeh Rashidi Fathabadi, Janos L. Grantner, Saad A. Shebrain, Ikhlas Abdel-Qader:
  Autonomous sequential surgical skills assessment for the peg transfer task in a laparoscopic box-trainer system with three cameras. Robotica 41(6): 1837-1855 (2023)
• 
  Thomas Auer, Simon Haller-Seeber, Thomas Gatterer:
  Towards the design of an interactive continuing training for software engineers in the Internet of Things sustainability using the example of autonomous vehicles. EDUCON 2023: 1-9
• 
  Yanqi Zhang, Bing Bu, Ying Fan:
  An Optimized Method Based on Two-Layer PSO Algorithm for the Node Placement of the Wireless Ad Hoc Network in Train Autonomous Circumambulate System. ITSC 2023: 3010-3015
• 2022
• 
  Rémi Dufour:
  Segmentation d'instance dans des images fisheye et détection de points clés de squelette dans des vidéos : application à la vidéoprotection à bord du futur train autonome. (Instance segmentation in fisheye images and skeleton keypoints detection in videos : application to videoprotection in the future autonomous train). University of Lille, France, 2022
• 
  Carlos Gómez Huélamo, Javier del Egido, Luis Miguel Bergasa, Rafael Barea, Elena López Guillén, Juan Felipe Arango, Javier Araluce, Joaquín López:
  Train here, drive there: ROS based end-to-end autonomous-driving pipeline validation in CARLA simulator using the NHTSA typology. Multim. Tools Appl. 81(3): 4213-4240 (2022)
• 
  Xi Wang, Tianpeng Xin, Hongwei Wang, Li Zhu, Dongliang Cui:
  A Generative Adversarial Network Based Learning Approach to the Autonomous Decision Making of High-Speed Trains. IEEE Trans. Veh. Technol. 71(3): 2399-2412 (2022)
• 
  Daniel C. Tozadore, Michele Carnieto Tozadore, Maria Stella Coutinho de Alcantara Gil:
  Supporting Therapists' Assessment in Parent-Mediated Training Through Autonomous Data Collection. AIED (2) 2022: 560-563
• 
  Matthias Bergler, Ramin Tavakoli Kolagari, Kristina Lundqvist:
  Case Study on the Use of the SafeML Approach in Training Autonomous Driving Vehicles. ICIAP (3) 2022: 87-97
• 
  Mohamed Amine Hadded, Ankur Mahtani, Sébastien Ambellouis, Jacques Boonaert, Hazem Wannous:
  Application of Rail Segmentation in the Monitoring of Autonomous Train's Frontal Environment. ICPRAI (1) 2022: 185-197
• 
  Julian Rolf, Mario Wolf, Detlef Gerhard:
  Investigating the Impact of Variable Effects in Virtual Training on the Behavior of a Physical Autonomous Robot. REV 2022: 607-614
• 2021
• 
  Bojana Gajic:
  Training strategies for efficient deep image retrieval. Autonomous University of Barcelona, Spain, 2021
• 
  David Escudero Mancebo, Mario Corrales-Astorgano, Valentín Cardeñoso-Payo, César González Ferreras:
  Evaluating the Impact of an Autonomous Playing Mode in a Learning Game to Train Oral Skills of Users With Down Syndrome. IEEE Access 9: 93480-93496 (2021)
• 
  Ljubo B. Vlacic:
  Shall the Rail Lines in Isolated Territories Be Replaced by "Autonomous Vehicle Trains"? IEEE Intell. Transp. Syst. Mag. 13(3): 3-5 (2021)
• 
  Jean-Luc Sarrade, Isabelle Lermigeaux-Sarrade:
  Work-in-Progress: Using Autonomous Training Resources for a More Inclusive Approach to the Teaching of Computer Networks. EDUCON 2021: 1353-1357
• 
  Walter Sebron, Elaheh Gol Hashem, Peter Krebs, Hans Tschürtz:
  The Impact of Train Station Topologies on Operation of Autonomous People Movers. EuroSPI 2021: 223-237

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