Our guest today is Andras Palffy, Co-Founder of Perciv AI: a startup offering AI based software solutions to build robust and affordable autonomous systems.

In our conversation, we first talk about Andras' PhD focusing on road users detection. We dive into AI applied to autonomous driving and discuss the pros and cons of the most common pieces of hardware: cameras, lidars and radars. We then focus on Perciv AI. Andras explains why he decided to focus on radars and how he uses Deep Learning algorithms to enable autonomous systems. He finally gives his take on the future of autonomous vehicles and shares learnings from his experience in the field.

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Link to Train in Data courses (use the code AISTORIES to get a 10% discount): https://www.trainindata.com/courses?affcode=1218302_5n7kraba

To learn more about Perciv AI: https://www.perciv.ai/

Follow Andras on LinkedIn: https://www.linkedin.com/in/andraspalffy/

Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/

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(00:00) - Intro

(02:57) - Andras' Journey into AI

(06:11) - Getting into Robotics

(10:15) - Evolution of Computer Vision Algorithms

(13:38) - PhD on Autonomous Driving & Road Users Detection

(28:01) - Launching Perciv AI

(35:19) - Augmenting Radars Performance with AI

(44:45) - Inside Perciv AI: Roles, Challenges, and Stories

(48:43) - Future of Autonomous Vehicles and Road Safety

(51:46) - Solving a Technical Challenge with Camera Calibration

(54:12) - Andras' First Self-Driving Car Experience

(56:09) - Career Advice

Deep Learning for Autonomous Driving with Andras Palffy #45