The annual Israel Machine Vision Conference (IMVC) took place on March 28, 2017 at David InterContinental Tel Aviv. Dr. Ilan Kadar spoke at a conference on “Deep-Driving into an Accident-Free World”.

Abstract:

Ilan Kadar is the Director of Deep Learning at Nexar. Ilan is responsible for leading the deep learning team and effort to leverage Nexar’s large-scale datasets of real-world driving environments to automative applications. Prior to Nexar, Ilan was leading the deep learning group at Cortica and was responsible for building the company’s machine vision technology. Ilan received his BSc, MSc and PhD degrees in computer science from the Ben-Gurion University of the Negev, Israel, in 2006, 2008, and 2012 respectively (Summa Cum Laude). His research thesis focused on machine learning algorithms for scene recognition and image retrieval, while employing insights from behavioral and psychophysical experiments. His work was published in leading conferences and journals in the areas of machine vision and was awarded the best research project at IMVC in 2013, the Intel award for excellent Israeli PhD students in 2012, and the Friedman award for outstanding PhD students in 2012.

Bio:

Deep learning plays a key role in the race to autonomous vehicles. Although remarkable progress has been made, the vast majority of both existing theories and technologies have yet to transition to real-world scenarios, which introduce a huge variety of road, weather and lighting conditions as well as deviations of driver behavior.

Nexar builds the world’s largest open vehicle-to-vehicle (V2V) network by turning smartphones into connected AI dash-cams. Joining deep learning with millions of crowdsourced driving miles collected by our users, Nexar’s technology provides a new, safer driving experience with the potential of saving the lives of 1.3 million people who die on the road every year.

In this talk, we will share our journey to make the roads safer. We will examine some of the challenges we face, from a real-time collision avoidance system to learning autonomous driving policies for a safer driving experience. We will also share some of our joint research with the Berkeley Deep-Drive (BDD) Industry Consortium and present the Nexar challenge, in which we open some of our deep learning challenges to the outside world and invite aspiring researchers to test their chops, win prizes, and to join our mission to free the world of car accidents.

For Dr. Ilan Kadar’s presentation click here

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