Target Designation of Straight Road Lane Departure Scenario and ELKS Calibration

Öz

It is one of the most serious problems in advanced driver assistance systems (ADAS) field to find target values of Key Performance Indicators (KPIs) and to be able to calibrate these systems to achieve the desired comfort and safety. In this study, a scenario related to the lane-keeping assist system (LKAS) of the emergency lane-keeping system (ELKS) has been selected as the system to be worked on and the "Target Designation" (TD) method is proposed for the explained problem. The obtained target matrices (TM) are used for the calibration of the ELKS controller on the determined operating points. As a first step of the TD procedure, KPIs were defined for the scenario and data were collected from a vehicle that was determined as a benchmark vehicle. According to the KPI values obtained from this vehicle, optimal parameter sets were obtained for each operating point by implementing genetic algorithm (GA) and non-linear optimization (NLO) methods on the ELKS controller of a benchmark vehicle.

Anahtar Kelimeler

• target designation
• emergency lane keeping system
• ADAS calibration
• KPI

Kaynakça

1. [1] J. Piao and M. McDonald, “Advanced driver assistance systems from autonomous to cooperative approach,” Transport reviews, vol. 28, no. 5, pp. 659–684, 2008.
2. [2] S. International, “Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles,” SAE Int., vol. 4970, no. 724, pp. 1–5, 2018.
3. [3] L. Masello, G. Castignani, B. Sheehan, F. Murphy, and K. McDonnell, “On the road safety benefit of advanced driver assistance systems in different driving contexts,” Transportation research interdisciplinary perspectives, vol. 15, p. 100 670, 2022.
4. [4] S. Moten, F. Celiberti, M. Grottoli, A. van der Heide, and Y. Lemmens, “X-in-the-loop advanced driving simulation platform for the design, development, testing and validation of adas,” in 2018 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2018, pp. 1–6.
5. [5] H.-P. Schoener and J. Mazzega, “Introduction to pegasus,” Jun. 2018.
6. [6] ENABLE-S3. “European Initiative to Enable Validation for Highly Automated Safe and Secure Systems.” (2020).
7. [7] Euro NCAP, “Test protocol - Lane Support Systems,” Test Protocol, European New Car Assessment Programme, 2022.
8. [8] M. Markofsky, M. Schäfer, and D. Schramm, “Use cases and methods of virtual adas/ads calibration in simulation,” Vehicles, vol. 5, no. 3, pp. 802–829, 2023.

9. [9] J. Hwang, K. Huh, H. Na, H. Jung, H. Kang, and P. Yoon, “Evaluation of lane keeping assistance controllers in hil simulations,” IFAC Proceedings Volumes, vol. 41, no. 2, pp. 9491–9496, 2008.
10. [10] M. H. G. Rojas, H. V. Arellano, D. U. González, M. M. Rivera, and M. O. A. Justo, “Steering wheel control in lane departure warning system.,” Res. Comput. Sci., no. 2, pp. 9–21, 2018.
11. [11] B. Durukal, S. Kınay, N. Zengin, B. Günaydm, B. Öztürk, and S. K. Yetkin, “A digital twin study: Particle swarm optimization of acc controller for follow acceleration maneuver,” in 2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), IEEE, 2022, pp. 146–153.
12. [12] J. Nesensohn, S. Lefèvre, D. Allgeier, B. Schick, and F. Fuhr, “An efficient evaluation method for longitudinal driver assistance systems within a consistent kpi based development process,” in 11th International Munich Chassis Symposium 2020: chassis. tech plus, Springer, 2021, pp. 77–92.
13. [13] A. L. GmbH. “Model.Connect.” Online; Accessed: 01.04.2024. (2015). Batuhan Günaydın, Sarp Kaya Yetkin, Buse Yakın Gökdemir, Kaan Babacan 24 ITU Computer Science, AI and Robotics
14. [14] A. L. GmbH. “Cameo model and map, all-in-one powertrain calibration.” Online; Accessed: 01.04.2024. (2014).
15. [15] GSR 2019/2144, “Type-approval requirements for motor vehicles and their trailers, and systems, components and separate technical units intended for such vehicles, as regards their general safety and the protection of vehicle occupants and vulnerable road users,” Regulation, The European Parliament And Of The Council, 2019.
16. [16] GSR 2021/646, “Type-approval requirements for motor vehicles and their trailers, and systems, components and separate technical units intended for such vehicles, as regards their general safety and the protection of vehicle occupants and vulnerable road users,” Regulation, The European Parliament And Of The Council, 2019.
17. [17] M. A. Taie and M. ElHelw, “On board evaluation system for advanced driver assistance systems,” SAE Technical Paper, Tech. Rep., 2016.
18. [18] G. N. Bifulco, F. Galante, L. Pariota, and M. Russo Spena, “A linear model for the estimation of fuel consumption and the impact evaluation of advanced driving assistance systems,” Sustainability, vol. 7, no. 10, pp. 14 326–14 343, 2015.
19. [19] S. Blume, S. Reicherts, H. Koegeler, N. Didcock, and T. Henn, “Geostatistical meta-modeling for a model-based calibration of an adaptive shock absorber,” in Advanced Vehicle Control, CRC Press, 2016, pp. 469–476.