posted on 2020-11-04, 16:55authored bySusanne Kaiser, Anita Eichhorn, Eva Aigner-Breuss, Carina Pracherstorfer, Christos Katrakazas, Eva Michelaraki, George Yannis, Fran Pilkington-Cheney, Rachel TalbotRachel Talbot, Graham Hancox, Evelien Polders, Veerle Ross, Tom Brijs, Kris Brijs, Chiara Gruden, Matjaž Šraml, Vlasta Rodošek, Tomaž Tollazzi, Petros Fortsakis, Bart De Vos, Eleonora Papadimitriou, André Lourenco, Carlos Carreiras
The work presented in this deliverable addresses the monitoring of the task demand and complexity based on contextual factors of the driver environment and the monitoring of the driver (car, truck, bus and train) in real-time; both with the aim of eventually determining whether an individual operates within or without a safe zone. In recent years, considerable research has been conducted in relation to these topics and the development of associated technologies is progressing fast – especially in view of the autonomous driving boom – which has resulted in an enormous variety of approaches, data collection methods, monitoring and warning equipment etc. This variety and ever-changing technology maturity, however, also reflects the circumstance that there is not a standard approach but quite the contrary, a multitude of tools, measurement methods, indicators, algorithms etc. with specific advantages and drawbacks, delivering their full potential in specific contexts. Therefore, capturing the state of the art of monitoring techniques and subsequently assessing the applicability for i-DREAMS’ endeavour is indispensable.
Funding
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 814761.