Advances in Autonomous Driving and Vehicular Networks (ADVnet)
Call for Papers
Camera Ready Guidelines
Accepted Papers (Oral)
Accepted Papers (Oral)
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A Deep Reinforcement Learning Approach for Dynamic Microservice Placement in Vehicular Edge Computing
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Evaluating Time-to-Collision Models and Steering Feasibility for Autonomous Emergency Braking
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Q-Learning-Based Multi-UAV Path Planning with Dynamic Obstacle Avoidance
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Risk Assessment of Connected Heavy Commercial Road Vehicles under Cyber Attacks
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Identifying Relevant Witnesses Using a BEV-Based Query Technique for Vehicle Collision Investigation
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NARMAD: A Novel Aerial Road Dataset with Oriented Annotations for Granular Traffic Analysis
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Analysing Spatiotemporal Mobility Trends of Public Bicycle Sharing Scheme Using Big Data: A Metropolitan City in India
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Longitudinal Speed and Wheel Slip Estimation During Combined Cornering and Braking for Heavy Commercial Road Vehicles
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URLLC-Aware Bi-Objective User Scheduling for D2D Enabled V2X Networks
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Impact of Variable Speed Limit Concept at Bottleneck using Microsimulation Technique: A Case Study of Expressway
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Integrated V2I-V2V Data Offloading for FiWi based Vehicular Communication
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TRIP-AV: Transformer-Powered Vehicle Prediction for Autonomous Vehicles
Accepted Papers (Poster)
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Smart Urban Transportation using Geolocation Intelligence on Automated Bus Fare Calculation using Face Verification System
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Replace Traditional FORV Scanning Systems with a MEMS-based High Actuation Angle Mirror in ToF lidars
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Driver Emotion Detection and Behavior Analysis During Peak and Off-peak Traffic Conditions
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Interpretable Traffic Flow Prediction with LSTM and Graph Convolutional Networks
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ML-Based Perception and Control for Semi-Autonomous Electric Buggy in Smart Campus Environments
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Offloading Compute-Heavy Workloads of an Agricultural Robot to Edge-Cloud
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Offloading Real-Time Collision Avoidance to the Edge-Cloud: Improving Energy Efficiency in Autonomous Systems
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Time Series Forecasting of Public Bicycle Demand Using Neural Networks in an Indian Tier-II City
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Relative View of a Multi-Drone Swarm: An IoT-based Approach
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Constraint-Driven Optimization Framework for Camera Calibration and Vehicle Trajectory Extraction in Heterogeneous Traffic
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Intelligent Road Surface Assessment: A Comparative Deep Learning Approach using YOLOv12 and RF-DETR
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DQN-Augmented V2X Communication with AoI-Based Data Freshness for Safer Autonomous Driving
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High-Bandwidth Hybrid Brake Control for Enhanced Stopping of Heavy Electric Vehicles
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A Meta Learning Framework for Dynamic Sensor Fusion in Autonomous Systems
Important Dates
| Paper Submission deadline: |
| Notification of Acceptance: |
| Camera-ready Submission: |
| Workshop Date: 10th January 2026 |
Workshop Overview
The 10th workshop on Advances in Autonomous Driving and Vehicular Networks (ADVNets) will be held in conjunction with COMSNETS 2025, highlighting the significance of Intelligent Transportation Systems—an amalgamation of cutting-edge technologies and communication used in traffic control and management systems to improve the sustainability, effectiveness, and safety of vehicular networks. This special workshop in COMSNETS 2025 aims to bring together engineers, researchers, and practitioners from various disciplines to share their experiences on interdisciplinary approaches to solving transportation problems. The workshop invites original papers that make contributions to the sensing, modeling, control, learning, and analysis in the field of connected and autonomous vehicles.
Topics of Interest include, but are not limited to:
- Infrastructure, Connectivity, and Communications for CAVs
- Vehicle to everything (V3X) and cellular V2X (C-V2X) communications
- Connected and autonomous vehicles (CAVs) - service design, management, and control
- Next-generation vehicular networks (5G, 6G, etc.)
- Networked land/aerial vehicular systems
- Integration of roadside infrastructure with intelligent vehicles
- Energy-efficient driving and sustainable mobility
- Sensing, Perception, and Cyber-Physical Architectures
- Sensor data fusion and signal processing for multimodal inputs
- Cooperative and multi-agent perception in connected environments
- Advanced sensing systems, object event detection and response (OEDR) and simultaneous localization and mapping (SLAM) for CAVs
- Cyber-physical architectures, distributed/edge computing on CAVs
- Integration of high-definition maps and onboard sensors
- ML/DL/vision-language models for perception and localization
- Vehicle Automation, Control, Testing and Validation
- Automated driving systems (ADS) - design and deployment
- Vehicle control and motion planning
- AI/ML for vehicle automation and control
- Simulations, digital twins and real-world testing methodologies
- Verification and validation techniques
- Safety, Security, and Human-Machine Interaction
- Vehicular active and passive safety
- Collision avoidance systems for vulnerable road users (VRUs), non-motorized traffic (NMT) and animals
- Functional safety in intelligent vehicles and advanced driving assistance systems
- Cybersecurity for CAVs - intrusion detection and prevention systems (IDS/IPS), secure and efficient over-the-air (OTA) updates, data protection
- AI/ML applications for vehicle safety and uncertainty estimation in safety-critical applications
- Human factors and human-machine interfaces in CAVs
- Teleoperation of intelligent vehicles
- Socially-aware and intention-predictive autonomous driving
- Cognitive workload and driver state monitoring in shared economy
- Policy, Ethics and Emerging Mobility Paradigms
- Emerging mobility systems: e-mobility, air mobility, shared mobility, autonomous mobility, software-defined and cooperative vehicles, etc.
- Ethical considerations, accessibility and societal acceptance of autonomous systems
- Public policy, regulation, and societal issues in CAVs
- Digital twins and simulation platforms for CAV design, testing and deployment
- Applications of generative AI, quantum computing, blockchain to CAVs
- Autonomous mobility in mixed-traffic and infrastructure-poor environments
Submission Guidelines
- The ADVnet Workshop invites submission of original work, not previously published, or under review at another conference or journal.
- Submissions (including title, abstract, all figures, tables, and references) should not exceed 6 pages in length.
- Reviews will be double-blind: authors’ names and affiliations must not be included in the submission.
- Submissions must follow the formatting guidelines as given on the IEEE Website; and those that do not meet the size and formatting requirements will not be reviewed.
- All papers must be in Adobe Portable Document Format (PDF) and submitted through the ADVnet Workshop submission site on EDAS.
- All workshop papers (both regular and invited) will appear in conference proceedings and be submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.
Papers can be submitted through EDAS: https://edas.info/N34098
For any queries, please contact the workshop chairs at comsnets.workshop@gmail.com
Program Committee
- Agnivesh P, IIT BHU
- Ajinkya Mane, Stantec
- Akshay Gupta, IIT (ISM) Dhanbad
- Amit Agarwal, IIT Roorkee
- Aninda Bijoy Paul, Senior Advisor (Road Safety and Compliances) at ICAT, Haryana
- Anshuman Sharma, IIT (BHU) Varanasi
- Archak Mittal, IIT Bombay
- Arunabha Banerjee, Postdoctoral Research Associate at Western Kentucky University
- Bhargava Rama Chulukuri, IIT Madras
- Bhupali Dutta, NIT Silchar
- Darshana O, NIT Tiruchirappalli
- Debanga Raj Neog, IIT Guwahati
- Digvijay Pawar, IIT Hyderabad
- Indrajit Ghosh, IIT Roorkee
- Jiten Shah, IITRAM
- Manish Bhatt, IIT Guwahati
- Nandan Maiti, Postdoctoral Researcher at Université Gustave Eiffel
- Narayana Raju, Postdoctoral Researcher at Delft University of Technology
- Neetesh Kumar, IIT Roorkee
- Ninad Gore, Postdoctoral Researcher, The University of North Carolina at Charlotte
- Pranab Kar, Post-doctoral researcher at University of Memphis
- Pranamesh Chakraborty, IIT Kanpur
- Pushpa Choudhary, IIT Indore
- Ravi Kiran, IIIT Hyderabad
- RB Sharmila, IIT Guwahati
- Ritvik Chauhan, NIT Tiruchirappalli
- Sowjanya Dhulipala, IIT Bhubaneswar
- Sreedevi Indu, Delhi Technological University
- Suvin P. Venthuruthiyil, Dromolys Research and Development Pvt. Ltd.
- Tarun Rambha, IISc Bangalore
- Vijay Gopal Kovvali, IISc Bangalore
- VS Vinayaraj, Research Scientist, IITB
- Yogeshwar Vijaykumar Navandar, NIT Calicut
Advances in Autonomous Driving and Vehicular Networks (ADVnet) Workshop Co-Chairs