Challenges of Developing Autonomous Vehicles for Real-World Applications
We are excited to have our first event for the Fall 2024 at Santa Clara University. Our guest speaker is Dr. Arslan from Aptiv. Please see below for the details.
Autonomy has become ubiquitous in every aspect of daily life. Today's society is rapidly advancing towards autonomous vehicles that interact with humans; and we are witnessing significant progress in development of autonomous vehicles for many applications (unmanned aerial systems, space robots, self-driving cars, etc). The safety-critical nature of these systems requires us to provide simple, easy-to-test approaches that are not necessarily the best in terms of performance.
In this talk, I will share my experiences, learned-lessons during the development of several autonomy projects ranging from full-scale autonomous Boeing helicopters, Mars rovers, Tesla self-driving cars to Airbus airplanes. These autonomous vehicles operate on a different spectrum of environmental conditions such as aerial, space, and urban cities. Also, these vehicles have different capacity and limitations of hardware resources which restrict the set of methods that can be implemented for real-time execution. I will conclude my talk with an overview of videos, results from successful demonstrations.
Date and Time
Location
Hosts
Registration
- Date: 14 Nov 2024
- Time: 06:00 PM to 08:00 PM
- All times are (UTC-08:00) Pacific Time (US & Canada)
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- Santa Clara University
- 500 El Camino Real
- Santa Clara , California
- United States 95053
- Building: Heafey
- Room Number: 225
- Starts 26 October 2024 12:00 AM
- Ends 14 November 2024 12:00 AM
- All times are (UTC-08:00) Pacific Time (US & Canada)
- 6 in-person spaces left!
- No Admission Charge
Speakers
Dr. Arslan of Aptiv
Challenges of Developing Autonomous Vehicles
Biography:
Dr. Oktay Arslan is currently an AI/ML Technical Manager (Senior Principal Engineer) at Aptiv, where he works on various autonomy projects related to autonomous driving. His academic research focuses on planning, control, machine learning, and computer vision for robotic systems and autonomous vehicles. Previously, he worked as an AI/Robotics Research Engineer at Acubed, the Silicon Valley innovation center of Airbus. In this role, he contributed to several autonomy projects within the Wayfinder team, including autonomous landing for commercial aircraft, planning and control for self-flying taxis, and the certification of autonomy software.
Before his time at Airbus, Dr. Arslan was a Staff Autopilot Software Engineer at Tesla Inc., where he played a key role in developing autopilot software, specifically in behavior planning, path planning, and controls for Tesla's Model 3, S, and X vehicles. He implemented traffic-aware lane change and merging behaviors for the navigate-on-autopilot feature, as well as the path planner for the smart summon feature. Earlier in his career, he worked as a Robotics Technologist at NASA's Jet Propulsion Laboratory (JPL), contributing to various autonomy projects for robotic platforms such as quadrotors, Mars rovers, and spacecraft.
During his doctoral studies, Dr. Arslan completed a research internship at Mitsubishi Electric Research Labs and a co-op as a Guidance, Navigation, and Controls Engineer at Aurora Flight Sciences. There, he implemented the high-level route planner for Boeing's Unmanned Little Bird H-6U during the Autonomous Aerial Cargo Utility System (AACUS) project.
Dr. Arslan earned his Ph.D. in Robotics, along with dual M.S. degrees in Computer Science and Aerospace Engineering, all from the Georgia Institute of Technology. He also holds an M.S. in Defense Technologies and dual B.Sc. degrees in Computer Engineering and Electrical Engineering from Istanbul Technical University.
Address:California, United States
Agenda
6:00 - 6:30 - Networking and light dinner (for in person attendees)
6:30 - 7:30 - Talk and Q & A
7:30 - 8:00 - Wrap up and Networking
This is a hybrid event. For those attending in person please register by 11/11 so we can have the headcount for the food.
Paid parking is available on campus and free parking is available off campus.