This is Syamimi’s MSc work. We continue our exploration in self-driving car technology.

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Vehicles Adaptability in Deep Learning training Pipeline for Autonomous Cars

Autonomous driving deep-learning models are trained on a dataset from a particular egocar. We hypothesize the performance will deteriorate when used on a different egocar. In this project, we study suitable imitation learning pipelines for autonomous car that will improve its performance when deployed on different egocars.

People

• Noorsyamimi binti Haji Abdur Ajak
• Ong Wee Hong
• Owais Ahmed Malik

Data/Codes

• Comparison of Autonomous Driving IL Pipeline for Ego-Vehicle Changes: https://github.com/ailabspace/Comparison-of-Autonomous-Driving-IL-Pipeline-for-Ego-Vehicle-Changes.

Publications

• Noorsyamimi Abdur Ajak, Wee Hong Ong and Owais Ahmed Malik, “A Comparison of Imitation Learning Pipelines for Autonomous Driving on the Effect of Change in Ego-vehicle,” 35th IEEE Intelligent Vehicles Symposium (IV), Jeju, South Korea, 2-5 June 2024 (paper, poster)

Media

Video segments showing performance of the models deployed on different ego-vehicles.