Table of Contents (powered by https://videoken.com)
0:00:00 Introduction to the Speaker
0:00:08 Human-Centric AI in Autonomous Driving
0:00:50 What is the main reason?
0:01:12 Agenda
0:01:23 Levels of Driving Automation
0:03:13 L2 Vs L4 - State of the Art
0:04:01 Building Blocks of Automated Driving
0:08:33 ADAS
0:08:58 Classic ML Vs Deep Learning
0:10:10 DL Factory: Key Ingredients
0:11:57 Al in AD Applications
0:15:06 Algorithms
0:16:20 Challenges: Input Data for Training
0:17:43 Challenges: Adversarial Attacks
0:18:40 Challenges: Explainability/Interpretability of DNN
0:19:22 Challenges: long tail of Edge cases
0:21:20 Human Centric Al
0:27:52 Continental Urban Mobility Experience
0:28:57 Continental AD solution Project CUBE
0:29:01 Continental AD solution - Project CUBE
0:29:20 Q&A
0:30:23 Human Centric AI
0:31:30 Some Critical Sensor goes bad is there some kind of emergency it will be stop automatically or what?
0:32:52 Who will be reliable? And what are the insurance provisions of the insurance companies?

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