A short review of the ADAS progress in the last decade and the potential concept of Human-Machine Symbiosis (HMS)

[1] Chen, G., Wiede, C., & Kokozinski, R. (2020). Data processing approaches on SPAD-based d-TOF LiDAR systems: A review. IEEE Sensors Journal, 21(5), 5656-5667. Search in Google Scholar

[2] Marcano, M., Díaz, S., Pérez, J., & Irigoyen, E. (2020). A review of shared control for automated vehicles: Theory and applications. IEEE Transactions on Human-Machine Systems, 50(6), 475-491. Search in Google Scholar

[3] Ayoub, J., Wang, Z., Li, M., Guo, H., Sherony, R., Bao, S., & Zhou, F. (2022, September). Cause-and-effect analysis of adas: A comparison study between literature review and complaint data. In Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 139-149). Search in Google Scholar

[4] Li, X., Lin, K. Y., Meng, a.o. (2022). A survey of adas perceptions with development in china. IEEE Transactions on Intelligent Transportation Systems, 23(9), 14188-14203. Search in Google Scholar

[5] Mishra, M., & Kumar, A. (2021). ADAS technology: a review on challenges, legal risk mitigation and solutions. Autonomous Driving and Advanced Driver-Assistance Systems (ADAS), 401-408. Search in Google Scholar

[6] Nidamanuri, J., Nibhanupudi, C., Assfalg, R., & Venkataraman, H. (2021). A Progressive Review: Emerging Technologies for ADAS Driven Solutions. IEEE Transactions on Intelligent Vehicles, 7(2), 326-341. Search in Google Scholar

[7] Urban, M., Erbsmehl, C., Mallada, J. L., Puente Guillen, P., & Tanigushi, S. (2020). A Methodology for Building Simulation Files from Police Recorded Accident Data (for ADAS Assessment). Search in Google Scholar

[8] Utriainen, R., Koisaari, T., Kari, T., & Heikkilä, H. (2023). Which notat-fault crashes are unavoidable by using current active safety technology?. IATSS Research, 47(1), 44-49. Search in Google Scholar

[9] De Angelis, M., Puchades, V. M., Fraboni, F., Pietrantoni, L., & Prati, G. (2017). Negative attitudes towards cyclists influence the acceptance of an in-vehicle cyclist detection system. Transportation Research Part F: Traffic Psychology and Behaviour, 49, 244-256. Search in Google Scholar

[10] Benmimoun, M., Fahrenkrog, F., Zlocki, A., & Eckstein, L. (2011, June). Incident detection based on vehicle CAN-data within the large scale field operational test “euroFOT”. In 22nd enhanced safety of vehicles conference (ESV 2011), washington, DC/USA. Search in Google Scholar

[11] Benmimoun, M., Pütz, A., Zlocki, A., & Eckstein, L. (2013). eurofot: Field operational test and impact assessment of advanced driver assistance systems: Final results. In Proceedings of the FISITA 2012 World Automotive Congress: Volume 9: Automotive Safety Technology (pp. 537-547). Springer Berlin Heidelberg. Search in Google Scholar

[12] Lyu, N., Duan, Z., Ma, C., & Wu, C. (2021). Safety margins–a novel approach from risk homeostasis theory for evaluating the impact of advanced driver assistance systems on driving behavior in near-crash events. Journal of Intelligent Transportation Systems, 25(1), 93-106. Search in Google Scholar

[13] Benmimoun, M., Zlocki, A., a.o. (2011). Execution of a field operational test within the euroFOT project at the German 1 test site. In 18 th World Congress on Intelligent Transportation Systems, Orlando. Search in Google Scholar

[14] [Benmimoun, M., Zlocki, A., & Eckstein, L. (2013, May). Behavioural changes and user acceptance of adaptive cruise control (ACC) and forward collision warning (FCW): Key findings within an European naturalistic field operational test. In Proceedings of the 23rd Enhanced Safety of Vehicles Conference, Seoul, Korea (pp. 27-30). Search in Google Scholar

[15] Helmer, T., Wang, L., Kompass, K., & Kates, R. (2015, September). Safety performance assessment of assisted and automated driving by virtual experiments: Stochastic microscopic traffic simulation as knowledge synthesis. In 2015 IEEE 18th International Conference on Intelligent Transportation Systems (pp. 2019-2023). IEEE. Search in Google Scholar

[16] Montanari, A., Kringberg, F., Valentini, A., Mascolo, C., & Prorok, A. (2018, June). Surveying areas in developing regions through context aware drone mobility. In Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications (pp. 27-32). Search in Google Scholar

[17] Stephanie, A., Yves, P., Ulrich, S., Felix, F., Thomas, H., Olaf, J., ... & Olaf, O. D. C. (2017). Prospective Effectiveness Assessment of ADAS and Active Safety Systems via Virtual Simulation: A Review of the Current Practices. Search in Google Scholar

[18] Pao, W. Y., Li, L., Agelin-Chaab, M., & Komar, J. (2023). Drive-Thru Climate Tunnel: A Proposed Method to Study ADAS Performance in Adverse Weather (No. 2023-01-0827). SAE Technical Paper. Search in Google Scholar

[19] Nandavar, S., Kaye, S. A., Senserrick, T., & Oviedo-Trespalacios, O. (2023). Exploring the factors influencing acquisition and learning experiences of cars fitted with advanced driver assistance systems (ADAS). Transportation research part F: traffic psychology and behaviour, 94, 341-352. Search in Google Scholar

[20] Voinea, G. D., Postelnicu, C. C., Duguleana, M., Mogan, G. L., & Socianu, R. (2020). Driving performance and technology acceptance evaluation in real traffic of a smartphone-based driver assistance system. International journal of environmental research and public health, 17(19), 7098. Search in Google Scholar

[21] De Angelis, M., Puchades, V. M., Fraboni, F., Pietrantoni, L., & Prati, G. (2017). Negative attitudes towards cyclists influence the acceptance of an in-vehicle cyclist detection system. Transportation Research Part F: Traffic Psychology and Behaviour, 49, 244-256. Search in Google Scholar

[22] ] Ito, T., Matsumi, R., Saito, Y., Yamasaki, A., Inoue, S., Shimizu, T., ... & Kamata, M. (2022). Comparison of Proactive Braking Intervention System Acceptability via Field Operation Tests in Different Regions. International Journal of Intelligent Transportation Systems Research, 1-26. Search in Google Scholar

[23] https://www.tesla.com/en_eu/support/transitioning-tesla-vision Search in Google Scholar

[24] https://www.bosch-mobility.com/en/solutions/sensors/front-radar-sensor/ Search in Google Scholar

[25] https://www.youtube.com/watch?v=mqa1kMqn5w8&ab Search in Google Scholar

[26] https://expertphotography.com/camera-vs-human-eye/ Search in Google Scholar

[27] https://www.youtube.com/watch?v=O6zhJglz_Eg&ab_channel=VTT Search in Google Scholar