An ESR’s perspective on SAS Network Wide Event 1 held at Toulouse from 02/12/2019 to 05/12/2019

Summarizing, wrong assumptions while designing safety features, cruising in an uncertain and dynamic environment, while blatantly carrying out operational misuse are the prime suspects for the fall of the giant. I call them “The Usual Suspects” as they are still persistent to challenge safety in today’s systems.

What was considered mere science fiction a few decades ago is quickly becoming a tangible reality: self-driving cars have been hailed as a mobility revolution in the making which will potentially improve safety, accessibility and efficiency.

Pursuing a PhD is a once in a lifetime experience. Motivation and passion, while balancing mind and health, are key elements for success.

Technological advancements in the face of computational power, sensor technologies, more robust algorithm techniques and fields like machine learning and deep learning are the major enabling force of fully automated driving.

The second part of the article that discuss the challenges and the recent efforts for increasing the reliability of machine-learning-based autonomous cars.

Current machine learning challenges for autonomous cars and the important and recent efforts of researchers in overcoming these challenges