The Digital Scanning Collision Avoidance Device with Risk Assessment

Author:

Haddad Malik,Shamieh Jamal,Sanders David,Gharavi Amir,Langner Martin,Tewkesbury Giles,Hassan-Sayed Mohamed

Publisher

Springer Nature Switzerland

Reference12 articles.

1. Sanders, D., Gegov, A.: Using artificial intelligence to share control of a powered-wheelchair between a wheelchair user and an intelligent sensor system. EPSRC Project (2019)

2. Langner, M.: Effort reduction and collision avoidance for powered wheelchairs: SCAD assistive mobility system. Ph.D. dissertation, University of Portsmouth (2012)

3. Haddad, M., Sanders, D., Langner, M., Bausch, N., Thabet, M., Gegov, A., Tewkesbury, G., Ikwan, F.: Intelligent control of the steering for a powered wheelchair using a microcomputer. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) Intelligent Systems and Applications. IntelliSys 2020. Advances in Intelligent Systems and Computing, vol. 1252. Springer, Cham (2021)

4. Haddad, M., Sanders, D., Ikwan, F., Thabet, M., Langner, M., Gegov, A.: Intelligent HMI and control for steering a powered wheelchair using a raspberry PI microcomputer. In: 2020 IEEE 10th International Conference on Intelligent Systems (IS), pp. 223–228 (2020)

5. Texas instruments, isolated voltage-measurement circuit with ±250-mV input. https://www.ti.com.lit.pdf.sbaa350. Accessed 22 Oct 2023

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