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SAE International Journal of Connected and Automated Vehicles 2021 Special Issue: Robust, Safe, and Secure Implementation of Connected and Automated Vehicles' Functional Software Design and Architecture: Facilitating a Reliable, Feasible, and Comfortable Future Mobility JRN-CA-SI-04

Volume 4, Issue 1, 2021

All articles in this special issue have been carefully selected to cover critical aspects of safety and standards for functional software design and architecture of connected and automated vehicles.

Guest Co-Editors:

Umar Zakir Abdul Hamid, Sensible 4 Oy, Finland
Fredrik Sandblom, Volvo Group, Sweden
Azra Habibovic, RISE Research Institutes of Sweden and SAFER Vehicle and Traffic Safety Centre Chalmers, Sweden
Bin Li, Aptiv PLC, USA

The SAE International Journal of Connected and Automated Vehicles furthers the state of the art of engineering research by promoting high-quality theoretical and applied investigations in the arena of connected and autonomous vehicles (CAVs) in on-road, off-road, and aerial operational environments.

All articles in the special issue contribute to ongoing discussions concerning robust, safe, and secure implementations and design for CAVs. They consider and advance these topics to yield high performance and quality during the automated driving state and draw attention to the topics of safety and standards for the functional software design and architecture of CAVs. To facilitate a reliable, feasible, and comfortable future mobility that is accepted by the public, CAVs must ensure high-quality and safe design standards. This special issue underscores this objective.

Article Titles:

- Towards a Formal Model for Safe and Scalable Automated Vehicle Decision Making: A Brief Survey on Responsibility-Sensitive Safety (RSS)
- Model-Based Systemic Hazard Analysis Approach for Connected and Autonomous Vehicles and Case Study Application in Automatic Emergency Braking System
- Self-Driving Car Safety Quantification via Component-Level Analysis
- Tracking and Fusion of Multiple Detections for Multi-Target Multi-Sensor Tracking Applications in Urban Traffic
- Torque-Vectoring Control of Autonomous Vehicles Considering Optimization of Vehicle Handling Characteristics
- An Optimal Controller Synthesis for Longitudinal Control of Platoons with Communication Scenarios in Urban Environments and Highways
- Compensation of Sensor & Actuator Imperfections for Lane Keeping Control using a Kalman Filter Predictor
- Connected and Automated Driving in Snowy and Icy Conditions – Results of Four Field-Testing Activities Carried out in Finland
- Identification of Test Scenarios for Autonomous Vehicles Using Fatal Accident Data
- Hybrid Testing: A Vehicle-in-the-Loop Testing Method for the Development of Automated Driving Functions

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