Challenges in designing a self-driving car to real world
Challenges in designing a self-driving car to real world
The objective: Improving the safety of automated vehicle cars though Machine Learning and its future challenges
Automated vehicles heavily rely on the machine learning (ML)/ Artificial Intelligence (AI) based algorithms that helps an automated vehicle to perceive, plan, and navigate on a roadway. However, there exist several challenges while designing an automated vehicle which rely on such algorithms. In this talk, Dr. Mhafuzul Islam will present some of his prior works on improving the safety of an automated vehicle using ML/AL algorithms, more specifically using Deep Learning. He will also present future challenges that we need to overcome before making an automated vehicle into a fully autonomous vehicle.
Date and Time
Location
Hosts
Registration
- Date: 18 Oct 2022
- Time: 06:00 PM to 07:20 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
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- Starts 23 September 2022 08:29 PM
- Ends 18 October 2022 04:29 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Md Mhafuzul islam of General Motors Research
Challenges in designing a self-driving car to real world
Biography:
Dr. Mhafuzul Islam is currently working as a Senior Researcher in General Motors R&D, USA. He received his Ph.D. and M.Sc. in Civil Engineering from Clemson University, and B.Sc. degree in Computer Science and Engineering from the Bangladesh University of Engineering and Technology (BUET). His research area includes transportation cyber-physical systems with an emphasis on data-driven connected autonomous vehicles. He previously worked as a senior software engineer at Infineon Technologies AG, Germany
Agenda
6:00 - 6:05 - Sign in and virtual Networking
6:10 - 7:00 - Presentation
7:00 - 7:15 – Q&A, discussion, wrap up
A joint Vehicle Tech and Computer Society chapters event.
Media
| Challenges in ML for a self driving car | Challenges in Machine Learning for a self driving car - FLYER | 330.38 KiB |