IEEE 2018 ITSC Workshop on Artificial Intelligence in

Transportation

• Title of Workshop: Artificial Intelligence in Transportation: Research Directions and Industrial Perspectives • Goal and Scope: Artificial intelligence is rapidly and significantly revolutionizing many scientific and industrial fronts around the world. In certain aspects, the technology is still in its infancy and there are plenty of opportunities for continuing research and developments, which is evidenced by active efforts in both academia and industries. In particular, transportation is a field that has been undergoing tremendous changes influenced by the latest developments of machine learning (ML) and artificial intelligence (AI). The goal of this workshop is to gather domain experts who are involved in leading-edge research in the academic community and pioneering product developments in the private sectors, to share with the audience their perspectives on research directions, deployment opportunities, and where the future of AI may lead in the future of transportation. Particularly, talks will cover topics on state-of-the-art deep learning methodologies, cutting-edge technologies being applied in industries, massive travelling data manipulation, intelligent mobility service, efficient and powerful software and hardware developments, up-to-date human-machine interaction achievements, etc. • List of Topics: The topics are included but not limited to the following:

o State-of-the-art deep learning methodologies o AI/ML applications in transportation systems o Cutting-edge technologies in automated driving/automated vehicles o Intelligent mobility services o Massive data manipulation based on machine learning techniques o Efficient software/hardware developments for AI expedition o AI-based human-machine interactions o Telematics and location-based services

• Schedule of Workshop: Workshop format: Half-day Workshop, Invited Talks The proposed half-day workshop on November 4th will be organized into two sessions. Each session will have 4-5 presenters (each for around 20 minutes with Q&A), followed by a panel discussion (around 20 minutes) during which the audience will have interactive discussions with the panelists. • Tentative Speakers and Talks: We list 5 candidate speakers with their potential topics at each session.

Session I: Artificial Intelligence in Transportation and Mobility o Speaker I-1: Prof. Alexandre Bayen, Director of Institute of Transportation Studies at UC

Berkeley, U.S. Topic: Traffic and Mobility based on Mobile Data

o Speaker I-2: Speakers from Didi Chuxing Topic: Artificial Intelligence for Mobility Service

o Speaker I-3: Speakers from NEXAR Topic: Data Collection and Analytics Speaker I-4: Dr. Yong Zhao, Founder of Deep Glint, TBD Topic: Deep Learning Technologies in Traffic System

o Panel Discussion

Session II: Autonomous and Highly Automated Driving Systems o Speaker II-1: Professor Trevor Darrell, Director of Berkeley Artificial Intelligence Research

(BAIR) and Berkeley DeepDrive (BDD), UC Berkeley, U.S., TBD Topic: Deep Learning Algorithms on Object Recognition

o Speaker II-2: Prof. de La Fortelle, Director of Center of Robotics, MINES ParisTech, France, Topic: TBD

o Speaker II-3: Speaker from Nvidia, Pradeep Gupta, Global Head - Solutions Architecture, Autonomous Driving Topic: Enabling Technologies in Software and Hardware

o Speaker II-4: Speakers from Baidu, Dr. Ruigang Yang, Director of Robotics and Autonomous Driving Laboratory Topic: AI and Machine Learning in Automated Driving

o Speaker II-5: Speakers from iFlytek Topic: AI-based Human-Machine interactions

o Panel Discussion

• Organizers: (1) Pin Wang

California PATH and Berkeley DeepDrive University of California, Berkeley, U.S. (+1) 510-371-2918, pin_wang@berkeley.edu

(2) Ching-Yao Chan California PATH and Berkeley DeepDrive University of California, Berkeley, U.S. (+1) 510-665-3621, cychan@berkeley.edu