Paper:
Remote Driving of Tractor-Trailer Vehicles Based on Predictive Display
Yuichi Tazaki*
, Yuki Takeda*, Hikaru Nagano**
, Yasuyoshi Yokokohji*
, and Shota Kameoka***
*Graduate School of Engineering, Kobe University
1-1 Rokkodai-cho, Nada-ku, Kobe, Hyogo 657-8501, Japan
**Kyoto Institute of Technology
Matsugasaki Hashikami-cho, Sakyo-ku, Kyoto, Kyoto 606-8585, Japan
***Mitsubishi Electric Corporation
8-1-1 Tsukaguchi-Honmachi, Amagasaki, Hyogo 661-8661, Japan
This paper presents a remote driving system for tractor-trailer vehicles based on predictive display. The vehicle’s predicted trajectory is superimposed onto the delayed camera image stream by wire frame and presented to the driver wearing a head-mounted display. Predictive display helps the driver to compensate for delayed response of the vehicle as well as to intuitively grasp the spatial relationship between the vehicle and its surroundings. The effectiveness of the developed remote driving system was evaluated with human subjects through tasks simulating different scenes of transportation. The results showed that both efficiency and safety of driving were improved by predictive display.

Predictive display of tractor-trailer vehicle seen from third-person perspective
- [1] X. Xu, L. Zhang, Y. Jiang, and N. Chen, “Active control on path following and lateral stability for truck-trailer combinations,” Arabian J. for Science and Engineering, Vol.44, No.2, pp. 1365-1377, 2019. https://doi.org/10.1007/s13369-018-3527-1
- [2] Y. Lee, T. Ahn, C. Lee, S. Kim, and K. Park, “A novel path planning algorithm for truck platooning using v2v communication,” Sensors, Vol.20, No.24, Article No.7022, 2020. https://doi.org/10.3390/s20247022
- [3] H. Woo, H. Tetsuka, and J. Gwak, “Automatic lane-changing system on congested highway,” J. Robot. Mechatron., Vol.36, No.3, pp. 779-786, 2024. https://doi.org/10.20965/jrm.2024.p0779
- [4] P. Raksincharoensak and Y. Akamatsu, “Development of collision avoidance system in right turn maneuver using vehicle-in-the-loop simulation,” J. Robot. Mechatron., Vol.27, No.6, pp. 627-635, 2015. https://doi.org/10.20965/jrm.2015.p0627
- [5] Z. Wang, A. Ahmad, R. Quirynen, Y. Wang, A. Bhagat, E. Zeino, Y. Zushi, and S. Di Cairano, “Motion planning and model predictive control for automated tractor-trailer hitching maneuver,” 2022 IEEE Conf. on Control Technology and Applications (CCTA), pp. 676-682, 2022. https://doi.org/10.1109/CCTA49430.2022.9966181
- [6] J. Davis, C. Smyth, and K. McDowell, “The effects of time lag on driving performance and a possible mitigation,” IEEE Trans. on Robotics, Vol.26, No.3, pp. 590-593, 2010. https://doi.org/10.1109/TRO.2010.2046695
- [7] F. E. Chucholowski, S. Büchner, J. Reicheneder, and M. Lienkamp, “Prediction methods for teleoperated road vehicles,” Conf. on Future Automotive Technology – Focus Electromobility, 2013. https://doi.org/10.13140/2.1.1470.3048
- [8] F. Chucholowski, “Evaluation of display methods for teleoperation of road vehicles,” The J. of Unmanned System Technology, Vol.3, No.3, 2015. https://doi.org/10.21535/just.v3i3.38
- [9] M. Brudnak, “Predictive displays for high latency teleoperation,” 2016 Ground Vehicle Systems Engineering and Technology Symposium, 2016. https://doi.org/10.4271/2024-01-3607
- [10] Q. Zhang, Z. Xu, Y. Wang, L. Yang, X. Song, and Z. Huang, “Predicted trajectory guidance control framework of teleoperated ground vehicles compensating for delays,” IEEE Trans. on Vehicular Technology, Vol.72, No.9, pp. 11264-11274, 2023. https://doi.org/10.1109/TVT.2023.3269517
- [11] J. Prakash, M. Vignati, E. Sabbioni, and F. Cheli, “Vehicle teleoperation: Successive reference-pose tracking to improve path tracking and to reduce time-delay induced instability,” 2022 IEEE Vehicle Power and Propulsion Conf. (VPPC), 2022. https://doi.org/10.1109/VPPC55846.2022.10003367
- [12] G. Graf, Y. Abdelrahman, H. Xu, Y. Abdrabou, D. Schitz, H. Hußmann, and F. Alt, “The predictive corridor: A virtual augmented driving assistance system for teleoperated autonomous vehicles,” Int. Conf. on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments, 2020. https://doi.org/10.2312/egve.20201260
- [13] A. Hosseini and M. Lienkamp, “Enhancing telepresence during the teleoperation of road vehicles using hmd-based mixed reality,” IEEE Intelligent Vehicles Symposium, pp. 1366-1373, 2016. https://doi.org/10.1109/IVS.2016.7535568
- [14] S. Saparia, A. Schimpe, and L. Ferranti, “Active safety system for semi-autonomous teleoperated vehicles,” 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), pp. 141-147, 2021. https://doi.org/10.1109/IVWorkshops54471.2021.9669239
- [15] Y. Luo, J. Wang, H.-N. Liang, S. Luo, and E. G. Lim, “Monoscopic vs. stereoscopic views and display types in the teleoperation of unmanned ground vehicles for object avoidance,” 2021 30th IEEE Int. Conf. on Robot & Human Interactive Communication (RO-MAN), pp. 418-425, 2021. https://doi.org/10.1109/RO-MAN50785.2021.9515455
- [16] Y. Tazaki, R. Marumoto, J. Ohgashira, H. Nagano, Y. Yokokohji, and S. Kameoka, “Experimental evaluation of the effect of predictive display on steering stability in remote driving,” Int. J. of Automotive Engineering, Vol.15, No.2, pp. 90-97, 2024. https://doi.org/10.20485/jsaeijae.15.2_90
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