Autonomous Driving Scenario Generation in Overtake Manoeuvres Through Data Fusion-Reference-Cited by-同舟云学术

Autonomous Driving Scenario Generation in Overtake Manoeuvres Through Data Fusion

Published:2020-08-20 Issue: Volume: Page:786-794
ISSN:2211-0984
Container-title:Mechanisms and Machine Science
language:
Short-container-title:

Author:

de Carvalho Pinheiro Henrique^ORCID,Cruz Stanke Diego,Ferraris Alessandro^ORCID,Carello Massimiliana^ORCID,Gabiati Giovanni,Camuffo Isabella,Grillo Massimo

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-55807-9_87

Reference15 articles.

1. Xu, S., Ferraris, A., Airale, A.G., Carello, M.: Elasto-kinematics design of an innovative composite material suspension system. Mech. Sci. 8(1), 11–22 (2017). https://doi.org/10.5194/ms-8-11-2017

2. Ferraris, A., Micca, F., Messana, A., Airale, A.G., Carello, M.: feasibility study of an innovative urban electric-hybrid microcar. Int. J. Automot. Technol. 20(2), 237–246 (2019). https://doi.org/10.1007/s12239-019-0023-x

3. Ferraris, A., Airale, A.G., Messana, A., Xu, S., Carello, M.: The regenerative braking for a L7E range extender hybrid vehicle. In: IEEE International Conference on Environment and Electrical Engineering, Palermo, pp. 1–7 (2018). https://doi.org/10.1109/eeeic.2018.8494000

4. Carello, M., Filippo, N., d’Ippolito, R.: Performance optimization for the XAM hybrid electric vehicle prototype. SAE Technical Paper 2012-01-0773 (2012). https://doi.org/10.4271/2012-01-0773

5. Cubito, C., Rolando, L., Ferraris, A., Carello, M., Millo, F.: Design of the control strategy for a range extended hybrid vehicle by means of dynamic programming optimization. In: IEEE Intelligent Vehicles Symposium 2017, CA, USA, pp. 1234–1241 (2017). https://doi.org/10.1109/ivs.2017.7995881

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Path planning development for human-like virtual driver;SAE Technical Paper Series;2024-01-08

2. Categorizing Data-Driven Methods for Test Scenario Generation to Assess Automated Driving Systems;IEEE Access;2024

3. The Future of E-Mobility: An Innovative Course to Approach Big Global Challenges;Mechanisms and Machine Science;2024

4. PerfECT Design Tool: Electric Vehicle Modelling and Experimental Validation;World Electric Vehicle Journal;2023-12-05

5. Pre-Design and Feasibility Analysis of a Magneto-Rheological Braking System for Electric Vehicles;SAE Technical Paper Series;2023-04-11