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AUTONOMOUS VEHICLES AND MACHINES (AVM) (California, US)
January 28, 2018 - February 2, 2018
Where Industry and Academia Meet
ABOUT THE EVENT
Imaging is integral to the human experience—from personal photographs taken every day with mobile devices to autonomous imaging algorithms in self-driving cars to the mixed reality technology that underlies new forms of entertainment. Come to EI 2018, where leading researchers, developers, and entrepreneurs from around the world discuss, learn about, and share the latest imaging developments from industry and academia.
The 2018 event features 18 technical conferences and 1 focus session covering all aspects of electronic imaging, including:
- Augmented and virtual reality displays and processing
- Autonomous machine imaging algorithms
- Computational and digital photography
- Human vision, color, perception, and cognition
- Image and video processing and communication via the web
- Mobile imaging
- Imaging sensors
- Image quality
- Display and hardcopy
- Media security and forensics
- Machine vision and machine learning
- Stereoscopic displays and their applications
- Applications of these technologies in communications, security, transportation, education, space exploration, medicine, entertainment, and more
Technical courses taught by experts from academia and industry augment the main technical program of symposium plenary, conference keynote, and oral and interactive (poster) presentations.
Technology demonstrations by industry and academia participants and a focused exhibition showcase the latest developments driving next generation electronic imaging products.
IS&T EI proceedings are Open Access. For IS&T EI proceedings, open access means that papers will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers may vary, please see individual papers for copyright details. Click to go to the Proceedings of the IS&T International Symposium on Electronic Imaging.
SYMPOSIUM PLENARY TALKS
Monday: Overview of Modern Machine Learning and Deep Neural Networks – Impact on Imaging and the Field of Computer Vision, Greg Corrado, co-founder of Google Brain and Principal Scientist at Google
Tuesday: Fast, Automated 3D Modeling of Buildings and Other GPS Denied Environments, Avideh Zahkor, Qualcomm Chair & Professor at UC Berkeley
Wednesday: Ubiquitous, Consumer AR Systems to Supplant Smartphones, Ronald T. Azuma, Intel Labs Researcher and Augmented Reality Pioneer
- 18 conferences featuring 30 keynote talks by world reknown experts
- 3D Theatre n Tours of Stanford University Labs
- Industry Exhibition n Meet the Future: Showcase of Student and Young Professional Research
- Demonstration Session
- Poster Session
- Welcome Reception n Women in Electronic Imaging Breakfast
- Human Vision in Electronic Imaging 30th Year Banquet Information confirmed as of 12/06/17
- Future with Autonomous Vehicles: Lyft’s approach to autonomous vehicles, Luc Vincent, Lyft, Inc. (US)
- Mapping and Localization: Scalable autonomous vehicle mapping and localization on the edge, Sravan Puttagunta, Civil Maps (US)
- Imaging Sensors and Technologies for Automotive Intelligence: Advances in automotive image sensors, Boyd Fowler, OmniVision Technologies (US) and Johannes Solhusvik, OmniVision Technologies Europe Design Center (Norway)
- Autonomous Vehicles and Machines Open Discussions
- Best Paper Award
- Automotive Camera Image Quality (with Image Quality and System Performance Conf.)
- Simulation for Autonomous Vehicles and Machines (with Photography, Mobile, and Immersive Imaging Conf.)
- Sensor Fusion n Mapping and Localization n Robotic Vision Techniques for Navigation and Vision (with Intelligent Robotics and Industrial Applications using Computer Vision Conf.)
- System, Imaging, and Vision Architecture
- Imaging Sensors and Technologies for Automotive Intelligence (with Image Sensors and Imaging Systems and Photography, Mobile, and Immersive Imaging Confs.)
RELATED SHORT COURSES
- EI03: Optimizing Computer Vision and Neural Network Applications using OpenVX Radhakrishna Giduthuri, Advanced Micro Devices, and Kari Pulli, Meta (US) – Sunday, January 28, 8:00 am @ 12:15 pm
- EI09: Using Cognitive and Behavioral Sciences and the Arts in Artificial Intelligence Research and Design Mónica López-González, La Petite Noiseuse Productions (US) – Sunday, January 28, 1:30 @ 5:45 pm
- EI10: Fundamentals of Deep Learning Allison Gray, NVIDIA, and Raymond Ptucha, RIT (US) – Sunday, January 28, 1:30 @ 5:45 pm
- EI13: Deep Learning for Image and Video Processing Jonathon Shlens and George Toderici, Google, Inc. (US) – Monday, January 29, 8:30 am @ 12:45 pm
- EI20: Introduction to CMOS Image Sensor Technology Arnaud Darmont, APHESA SPRL (Belgium) – Sunday, January 28, 8:00 @ 10:00 am
- EI25: Computer Vision for Autonomous Driving Rony Ferzli, Intel Corp. (US) – Sunday, January 28, 1:30 @ 3:30 pm
Civil Maps’ Speaker:
Scalable Autonomous Vehicle Mapping and Localization On the Edge
Sravan Puttagunta (CEO & Co-founder)
When: January 30th at 10:30 AM
Where: Grand Peninsula Ballroom B-C
Abstract: Sravan Puttagunta, co-founder and CEO of Civil Maps, discusses how conventional mapping and localization is evolving towards Edge Mapping, a process in which autonomous vehicles create, use, and crowdsource high definition semantic maps, in real-time and in-car. Self-driving cars pose a massive data processing challenge that is moving from high latency data centers to in-vehicle processing at the edge. Puttagunta will explore the role of advanced sensor fusion and how recent innovations are enabling scalable hardware and software solutions to accelerate autonomous driving initiatives.
Biography: Sravan Puttagunta is a co-founder and chief executive officer of Civil Maps, an autonomous vehicle technology company that enables cars to have Cognition through AI, 3D mapping, advanced localization, and crowdsourcing. As CEO, he is executing on a vision for safer, smarter, fully autonomous driving. With his direction, Civil Maps is on track to triple revenue from last year and is providing key technology to several major automakers. He leads the company’s technology teams, who are developing innovative ways for cars to localize in six dimensions (6D) and crowdsource 3D maps at a continental scale. In his previous work, he invented video fingerprinting for linear broadcast TV to track viewing habits and developed software that runs in more than 160 million TVs. He has written substantial portions of artificial intelligence (AI) algorithms for cars which map the world in 3D. Puttagunta holds a master’s degree in electrical engineering and computer science from the University of California, Berkeley.
If you would like to connect with Sravan at the conference, please contact email@example.com.
We are also planning to add more engineering, sales, and marketing talent to our team. If you want to work on the frontlines of building a driverless future, please reach out to firstname.lastname@example.org.