Learning to Drive With and Without Intelligent Computer Systems and Sensors to Assist
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-01054-6_81
Reference42 articles.
1. Sanders, D.A., Ndzi, D., Chester, S., Malik, M.: Adjustment of tele-operator learning when provided with different levels of sensor support while driving mobile robots. In: Bi, Y., Kapoor, S., Bhatia, R. (eds.) SAI Intelligent Systems (IntelliSys), vol. 2. Lecture Notes in Networks and Systems, vol. 16, pp. 548–558. Springer, UK (2017). https://doi.org/10.1007/978-3-319-56991-8_41
2. Sanders, D.A., Sanders, H., Gegov, A., Ndzi, D.: Rule-based system to assist a tele-operator with driving a mobile robot. In Bi, Y., Kapoor, S., Bhatia, R. (eds.) SAI Intelligent Systems (IntelliSys), vol. 2. Lecture Notes in Networks and Systems, vol. 16, pp. 599–615. Springer (2017). https://doi.org/10.1007/978-3-319-56991-8_44
3. Sanders, D.A.: Using self-reliance factors to decide how to share control between human powered wheelchair drivers and ultrasonic sensors. IEEE Trans. Neural Syst. Rehabil. Eng. 25(8), 1221–1229 (2017). https://doi.org/10.1109/TNSRE.2016.2620988
4. Sanders, D.A.: Non-model-based control of a wheeled vehicle pulling two trailers to provide early powered mobility and driving experiences. IEEE Trans. Neural Syst. Rehabil. Eng. 26(1), 96–104 (2018). https://doi.org/10.1109/TNSRE.2017.2726443
5. Sanders, D.A., Gegov, A., Tewkesbury, G., Khusainov, R.: Rule-based system to assist a powered wheelchair driver. In: IEEE Proceedings of the Intelligent Systems Conference (IntelliSys), United Kingdom, 7–8 September 2017, pp. 558–565. IEEE, London (2017). ISBN 978-1-5090-6435-9 ()
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3. Intelligent Control and HCI for a Powered Wheelchair Using a Simple Expert System and Ultrasonic Sensors;Advances in Intelligent Systems and Computing;2020-08-25
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