Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/140400
Title: | Vehicle energy systems for autonomous driving | Authors: | Goh, Daniel Jun Hao | Keywords: | Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics | Issue Date: | 2020 | Publisher: | Nanyang Technological University | Project: | B2063-191 | Abstract: | The Shell Eco-Marathon is an energy efficiency competition for students to design and build ultra-energy-efficient cars to compete against each other. The Nanyang Venture, which is the student team from the School of Mechanical and Aerospace Engineering (MAE) at the Nanyang Technological University (NTU) of Singapore, has been participating in the competition since 2009. In 2018, Shell added an autonomous category to the competition that requires the cars in competition to complete five challenges. In order to compete in this category, the autonomous capabilities have to be added to the Nanyang Venture 11 (NV11). NV11, which is an electric vehicle, participated in the Shell Eco-Marathon Asia 2019 in the efficiency category. This project aims to complete the development of the autonomous software of Nanyang Venture 11 as well as to integrate the entire autonomous system so that it can participate in the autonomous category of the Shell Eco-Marathon competition. This report details the work done on the development, implementation, and integration of the autonomous software with the rest of the system. Future work and recommendations to improve the autonomous capabilities are also provided. | URI: | https://hdl.handle.net/10356/140400 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FYP Report By Goh Jun Hao Daniel U1720026K.pdf Restricted Access | 2.6 MB | Adobe PDF | View/Open |
Page view(s)
469
Updated on May 7, 2025
Download(s) 50
25
Updated on May 7, 2025
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.