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dc.contributor.author Supervisor Dr. Fahad Mumtaz Malik, Muhammad Ibtesam Abdullah Tauqeer
dc.date.accessioned 2024-05-10T07:08:02Z
dc.date.available 2024-05-10T07:08:02Z
dc.date.issued 2023
dc.identifier.issn DE-ELECT-41
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/43262
dc.description Supervisor Dr. Fahad Mumtaz Malik en_US
dc.description.abstract This research project focuses on the integration of advanced technologies into autonomous vehicles to enhance their perception capabilities, improve hardware reliability, achieve a high level of autonomy, and develop a benchmark system. The study encompasses the integration of the Ouster OS1 3D Lidar sensor, innovations in wiring solutions using PCB designs, and the evaluation of the electric vehicle design. The literature review explores the importance of sensor fusion in autonomous vehicle navigation systems and highlights the benefits of Lidar technology. It also discusses the significance of robust hardware design and PCB integration in autonomous vehicles. Additionally, case studies and research papers are presented to support the integration of the Ouster Lidar in autonomous vehicles. The electric vehicle design section covers various aspects, including lithium-ion batteries, battery management systems, motor selection, steering and braking systems, propulsion mechanisms, and vehicle communication. It also describes the hardware placement and wiring of sensors, such as the Jetson AGX Xavier Developer Kit. The methodology section explains the process of enhancing perception and object detection through preprocessing of Lidar data, feature extraction techniques, and object detection algorithms. It also outlines the integration process of the Ouster OS1 3D Lidar sensor and the innovations in wiring solutions using PCB designs. The results section presents the findings of the research, including performance comparisons of object detection algorithms, evaluation of pre-processed Lidar data, and the impact of enhanced perception on overall object detection. It also evaluates the integration of the Ouster Lidar sensor into the autonomous vehicle and the results of improved wiring solutions using PCB designs. A comparative analysis of the results is provided, along with a summary of key findings and lessons learned. In conclusion, this research project successfully demonstrates the benefits of integrating the Ouster Lidar sensor and improving wiring solutions using PCB designs in autonomous vehicles. The findings contribute to the advancement of autonomous vehicle technology and provide insights for future research. en_US
dc.language.iso en en_US
dc.publisher College of Electrical and Mechanical Engineering (CEME), NUST en_US
dc.title Autonomous Vehicle en_US
dc.type Project Report en_US


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