Autonomous road vehicles - Adelard releases TIGARS project conclusions

TIGARS (Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS) was an international research project aimed at investigating the assurance gaps and challenges for first generation autonomous systems, and research into novel techniques and engineering processes for addressing them.

The project concluded the research studies by reporting technical results, guidance and recommendations as a series of TIGARS Topic Notes (TTNs).

The TTNs address the challenges faced in the current landscape regarding noted attributes for Machine Learning (ML) based autonomous vehicles and systems. Additionally, we discuss potential solutions and recommendations proposed by a varied set of literature as well as preliminary research that we have carried out.

For further insight, and to view the TTN’s please visit our TIGARS and Autonomy webpages.

If you would like to understand more about how Adelard can assist you in the area of assuring autonomous systems and systems with Artificial Intelligence/Machine Learning components, please contact us.