Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS – a collection of Technical Notes Part 1

02/28/2020

∙

This report provides an introduction and overview of the Technical Topic Notes (TTNs) produced in the Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS (Tigars) project. These notes aim to support the development and evaluation of autonomous vehicles. Part 1 addresses: Assurance-overview and issues, Resilience and Safety Requirements, Open Systems Perspective and Formal Verification and Static Analysis of ML Systems. Part 2: Simulation and Dynamic Testing, Defence in Depth and Diversity, Security-Informed Safety Analysis, Standards and Guidelines.

READ FULL TEXT

Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS – a collection of Technical Notes Part 1

Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS – a collection of Technical Notes Part 2

Towards Deductive Verification of Control Algorithms for Autonomous Marine Vehicles

An analysis of European crash data and scenario specification for heavy truck safety system development within the AEROFLEX project

Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward

A Survey of Security and Privacy Issues in V2X Communication Systems

Localization Requirements for Autonomous Vehicles

Physical Backdoor Trigger Activation of Autonomous Vehicle using Reachability Analysis

Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS – a collection of Technical Notes Part 1

Related Research

Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS – a collection of Technical Notes Part 2

Towards Deductive Verification of Control Algorithms for Autonomous Marine Vehicles

An analysis of European crash data and scenario specification for heavy truck safety system development within the AEROFLEX project

Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward

A Survey of Security and Privacy Issues in V2X Communication Systems

Localization Requirements for Autonomous Vehicles

Physical Backdoor Trigger Activation of Autonomous Vehicle using Reachability Analysis