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9th VEHITS 2023: Prague, Czech Republic
- Alexey V. Vinel, Jeroen Ploeg, Karsten Berns, Oleg Gusikhin:
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2023, Prague, Czech Republic, April 26-28, 2023. SCITEPRESS 2023, ISBN 978-989-758-652-1
Invited Speakers
- Karl Henrik Johansson:
Traffic Control Using Automated Vehicles: Distributed Sensing, Actuation, and Learning. VEHITS 2023: 5 - Christoph Stiller:
Technologies Towards Automated Vehicles. VEHITS 2023: 7 - Rudy R. Negenborn:
Smart Shipping and Logistics: Perspectives & Challenges. VEHITS 2023: 9
Papers
- Sven Tomforde, Yanneck Ohl, Ingo Thomsen:
Incident-Aware Distributed Signal Systems in Self-Organised Traffic Control Systems. 15-26 - Hao Chen, Hesham A. Rakha:
Integrated Optimization of Vehicle Trajectories and Traffic Signal Timings. 27-34 - Fahd Alazemi, Karim Fadhloun, Hesham Rakha, Archak Mittal:
Towards Building a Naturalistic Cycling Dataset Capturing Bicycle/Car Interactions. 35-45 - Juan D. Yepes, Daniel Raviv:
Visual Looming from Motion Field and Surface Normals. 46-53 - Rahul Sengupta, Tania Banerjee, Ke Chen, Yashaswi Karnati, Sanjay Ranka
, Anand Rangarajan
Towards Effective Traffic Signal Safety and Optimization Using Fisheye Video. 54-63 - Álvaro Ramajo Ballester, Arturo de la Escalera Hueso, José María Armingol Moreno:
3D Object Detection for Autonomous Driving: A Practical Survey. VEHITS 2023: 64-73 - Jamila Josip Borda, Kirsten Matheus, Friedel Gerfers:
25Gbps Automotive Ethernet ECU PCB: MDI Design Implementation and Insertion Loss Characterization. 74-84 - Urs Baumgart, Michael Burger:
Hybrid Optimal Traffic Control: Combining Model-Based and Data-Driven Approaches. 85-94 - Carola A. Blazquez, Roberto León, Luis Delgado:
Towards a Topological Map-Matching Algorithm for Solid Waste Collection Systems. 95-102 - Emanuel Vieira, Tiago Dias, João Almeida
V2X Tolling System for C-ITS Environments. 103-112 - Zeyu Mu, Fatemeh Jahedinia, B. Brian Park:
Does the Intelligent Driver Model Adequately Represent Human Drivers? 113-121 - Eugenia Rykova, Juri Golanov, Jonas Vogt
Traffic Data Evaluation for Automated Driving Handover Scenarios. 125-134 - Jacco van de Sluis, Jan F. C. M. de Jongh:
V2X Communication Test Tool for Scenario-Based Assessment of Truck Platooning. 135-143 - Aiden Bezzina, Luana Chetcuti Zammit:
Traffic Data Analysis from Social Media. 144-151 - Ingo Thomsen, Torben Brennecke, Sven Tomforde:
Distributed Collaborative Incident Validation in a Self-Organised Traffic Control System. 152-159 - Åse Jevinger
Context-Aware Travel Support During Unplanned Public Transport Disturbances. 160-170 - Liva Deksne, Viesturs Pavlovs, Dainis Dosbergs, Martins Zviedris:
Analytical Model for Winter Road Maintenance Efficiency Determination. 171-178 - Sara Khan, Mehmed Yüksel, Andre Ferreira:
ASIMS: Acceleration Spectrograms Based Intelligent Mobility System for Vehicle Damage Detection. 179-186 - Grzegorz Gutowski, Grzegorz Herman:
Long-Distance Directional Dial-a-Ride Problems. 187-197 - Saad Roustom, Hajo Ribberink:
Optimizing CAV Driving Behaviour to Reduce Traffic Congestion and GHG Emissions. 198-205 - Shiva Agrawal
Instance Segmentation and Detection of Children to Safeguard Vulnerable Traffic User by Infrastructure. 206-214 - Christoph Glasmacher, Hendrik Weber, Michael Schuldes, Nicolas Wagener, Lutz Eckstein:
Generation of Concrete Parameters from Logical Urban Driving Scenarios Based on Hybrid Graphs. 215-222 - Nafisa Zarrin Tasnim, Attiq Uz Zaman, M. I. Hayee:
Development of a Smartphone App for Lane Departure Warning. 223-231 - Sagar Pathrudkar, Saadhana Venkataraman, Deepika Kanade, Aswin Ajayan, Palash Gupta, Shehzaman Salim Khatib, Vijaya Sarathi Indla, Saikat Mukherjee:
SAFR-AV: Safety Analysis of Autonomous Vehicles Using Real World Data: An End-to-End Solution for Real World Data Driven Scenario-Based Testing for Pre-Certification of AV Stacks. 232-239 - Sagar Pathrudkar, Guido Schroeer, Vijaya Sarathi Indla, Saikat Mukherjee:
Framework and Algorithms for Data Analytics, Semantic Querying and Realistic Modelling of Traffic. 240-247 - Jamal Raiyn, Galia Weidl:
Naturalistic Driving Studies Data Analysis Based on a Convolutional Neural Network. 248-256 - Jaison Paul Mulerikkal
A Path-Depended Passenger Flow Forecasting Model for Metro Rail Systems Using LSTM Neural Network. 257-264 - David Yagüe-Cuevas, Pablo Marín-Plaza, María Paz Sesmero, Araceli Sanchis:
Towards a Robust Traffic Scene Representation in Cooperative Connected Automated Mobility. 265-272 - Huei-Yung Lin, Kai-Chun Tu:
Night Fatigue Driving Detection Technology Using Infrared Images and Convolutional Neural Networks. 273-280 - Patrik Gonçalves
Applying Activity-Based Models to Integrate Labeled Preset Key Events in Intra-Day Human Mobility Scenarios. 281-288 - Sören Striewski, Ingo Thomsen, Sven Tomforde:
Approaches to Automatic Road Traffic Incident Detection and Incident Forecasting. 289-296 - Olaf Op den Camp, Erwin de Gelder, Jeroen Broos:
When Is an Automated Driving System Safe Enough for Deployment on the Public Road? Quantifying Safety Risk Using Real-World Scenarios. 297-304 - R. Park, C. Lee:
3D Mask-Based Shape Loss Function for LIDAR Data for Improved 3D Object Detection. 305-312 - Matthias Graichen, Lisa Graichen:
From Maps to Models: Computing Velocity Models for Turn Prediction Using OpenStreetMap Data. 313-320 - Sebastian Bomher, Bogdan Ichim
On the Adjacency Matrix of Spatio-Temporal Neural Network Architectures for Predicting Traffic. 321-328 - Rihab Abidi, Nabil Sahli
An Infrastructure-Based Trust Management Framework for Cooperative ITS. 329-336 - Vincent Albert Wolff
Enhancing Vulnerable Road User Awareness of Intelligent Transport Systems Through Relay and Aggregation of Collective Perception Messages with Road Side Units. 337-343 - Grzegorz Herman, Grzegorz Gawryal:
Aggregating Pairwise Information Over Optimal Routes. 344-352 - Himanshu Bindal, Joseph Oh, Kenneth Taylor, Hugh Skelton:
Optimization of Integral Type Cold Plate Heatsink for a 50W SoC in a High-Powered Liquid-Cooled ECU. VEHITS 2023: 353-358 - Michael Klöppel-Gersdorf, Adrien Bellanger
Implementing Remote Driving in 5G Standalone Campus Networks. 359-366 - Christopher Link, Kevin Malena, Sandra Gausemeier, Ansgar Trächtler:
Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios. 367-377 - Qiong Lu, Alessio Tesone
Impacts of Connected Automated Vehicles on Large Urban Road Network. 378-385 - Svetlana Karaseva, Alexey Papunin, Vladimir Belyakov, Vladimir Makarov, Dmitry Malahov, Anton Klyushkin:
Comparative Structural Analysis of Hydrodynamic Interaction of Full-Submerged Tandem Archimedes Screws of Rotary-Screw Propulsion Units of Snow and Swamp-Going Amphibious Vehicles with the Water Area in Running and Mooring Modes. 386-393 - Mario Raciti
How to Model Privacy Threats in the Automotive Domain. 394-401 - Qazi Hamza Jan, Jan Markus Arnold Kleen, Karsten Berns:
Deep Driving with Additional Guided Inputs for Crossings in Pedestrian Zones. 402-409 - Maryna Pobudzei, Ilona Wichmann
Unlocking the Wheel: Insights into Shared Micromobility Perceptions and Adoption on Campus. 410-419 - Rahul Sengupta, Tania Banerjee, Yashaswi Karnati, Sanjay Ranka
Using DSRC Road-Side Unit Data to Derive Braking Behavior. 420-427 - Won Sun Chen
Examination of the Relationship Between Smartphone Dependency and Driving Behaviour in Young Drivers: Preliminary Analysis. 428-435
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