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Safe End-to-End Autonomous DrivingEDINBURGH, UK JUNE 16, 2025
Title:
Safe End-to-End Autonomous Driving
Date:
June 16th, 2025 (UTC +1)
Organizer:
Institute of Sensors, Signals and Systems, Heriot-Watt University
Symposium Chair:
Dr. Cheng Wang
Personal Bio:
Dr. Cheng Wang is an assistant professor at Heriot-Watt University, leading the RoboSafe Lab where the research focus is verification & validation, and AI safety for safe and trustworthy autonomous driving. Before this, he was a research associate at the University of Edinburgh, doing explainable AI for autonomous driving. He completed his PhD at the Technical University of Darmstadt, Germany, and was a subgroup leader in the VVM project. He is the Marie Curie Postdoctoral Fellow and the DAAD AINet Fellow.
Committee Members:
Dr. Cheng Wang, Heriot-Watt University, UK, cheng.wang@hw.ac.uk
Dr. Jiawei Zheng, DigitLab, UK, jw.zheng@ed.ac.uk
Call for Papers
Background:
Autonomous vehicles (AVs) must operate safely in the real world without endangering passengers or others on the road. However, challenges arise from external factors like adverse weather conditions and internal issues such as sensor failures, making their reliable deployment difficult. The problem is further exacerbated by the introduction of AI to AVs, wherein uncertainty and opacity characteristics are brought. Despite these additional risks that AI will bring, its superior performance compared to traditional modular pipelines (perception-planning-control) is appealing. Therefore, how to fully leverage the potential of AI while assuring its safety and trustworthiness is a question faced by researchers. Since safety standards such as ISO 26262 and ISO 21448 do not take AI into account, new safety assurance paradigms are critical to mitigate the risks posed by AI.
Goal/Rationale:
The symposium aims to bring researchers together to discuss novel solutions to address this challenge and identify future research questions, with the ultimate goal of bridging the gap between the utility and safety of AI-driven AVs.
Scope and Information for Participants:
This symposium will discuss relevant technologies to address AI safety in AD. Specifically, topics such as robust training, safety verification and validation, simulation and testing, scenario generation, uncertainty quantification, AI monitoring and risk quantification fall into the scope of the symposium. As a result, engineers or scholars from the background of robotics, automotive, intelligent transportation and AI are welcome to join the symposium.
Topics:
The main topics of this symposium are listed below.
Autonomous Driving
- AI Monitoring
- AI Safety
- Risk Quantification
- Safety Verification and Validation
- Scenario Generation
- Simulation and Testing
Electronics and Sensors
- Sensors / Actuators
- Sensor Design, Sensor Fusion, Sensor Networks
- Sensing and Measurement in Electromechanical Systems
- Intelligent Sensing and Control
- Micro-nano Electromechanical System
- Micro and Nano Mechatronics
- Mechatronics in MEMS
- Microfluidic Technology
Meanwhile, submissions aligned with the overall conference theme are also welcome.
Mechanics and Automation
- Machine Design
- Mechanical CAD/CAM
- Mechanical Power Engineering
- Mechanical Dynamics
- Process Control & Instrumentation
- Flexible Manufacturing Systems
- Integrated Manufacturing
- Precision Manufacturing & Measurement
- Fault Detection and Diagnostics
- Physical System Modelling
- Manufacturing Automation
- Industrial Automation
- Micro- and Nano-scale Automation
- Advanced Intelligent Mechatronics
- Machine Vision System
- Human-Machine Interaction
- Real-time Systems
Robotics
- Mechatronics and Robotics
- Bio-inspired Robotics
- Evolutional Robotics
- Field Robotics
- Manufacturing Robotics
- Healthcare Robotics and Medical Robotics
- Wearable Exoskeleton and Powered Exoskeleton
- Parallel Robots and Manipulators
- Robotic Cognition and Emotion
- Robotic Perception and Decision
- Human-Robot Interaction
- Control Algorithms and Control Systems
- Kinematics and Dynamics Analysis
- Mathematical and Computational Methodologies in Robotics
Smart System
- Smart Grids, Smart Power Delivery Systems
- Power Engineering
- Distributed Generation Systems
- High Voltage Systems
- Power Quality (PQ)
- Power System Reliability
- Transportation and Traffic Engineering
- Power Electronics and Drives
- Electric Motors and Transformers
- Grid to Vehicle (G2V) and Vehicle to Grid (V2G)
- Electric Vehicles
- Autonomous Driving
- Smart Transportation and Smart City
- Civil Engineering
Submission:
Prospective authors are kindly invited to submit full papers that include title, abstract, introduction, tables, figures, conclusion and references. It is unnecessary to submit an abstract in advance. Please submit your papers in English.
Each paper should be no less than 4 pages. One regular registration can cover a paper of 6 pages, and additional pages will be charged. Please format your paper well according to the conference template before submission. Paper Template Download
Please prepare your paper in both .doc/.docx and .pdf format and submit your full paper by email with both formats attached directly to sympo_edinburgh@confmss.org
Important Date:
| Process | Date & Time |
|---|---|
| Submission Deadline | June 9, 2025 |
| Symposium Date | June 16, 2025 |
| Notification of Acceptance | 7-20 workdays |
| Fees (VAT Included) | Amount |
|---|---|
| Registration and Publishing Fee (6 pages included) | $450 |
| Additional Page (per extra page) | $40 |
Publication:
Accepted papers of the symposium will be published in Conference Proceedings, and will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, CNKI, Portico, Engineering Village (Inspec), Google Scholar, and other databases for indexing. The situation may be affected by factors among databases like processing time, workflow, policy, etc.
This symposium is organized by CONF-MSS 2025 and it will independently proceed the submission and publication process.
* Please note that the publication policy may vary between different publishers. For details regarding the publication process, kindly refer to the policies of the respective publisher.
Ways to Participate
Venue:
Heriot-Watt University Edinburgh Campus, Heriot-Watt University, EH14 4AS
Attend in person:
If you want to attend the symposium on-site, please email sympo_edinburgh@confmss.org. The symposium seats are limited. Both contributors and non-contributors who wish to participate in the symposium in person need to apply to the symposium organizers.
VISA:
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