Autonomous Vehicles and Machines 2020

Conference Keywords: Autonomous Vehicles, Perception, Machine Learning, Deep Learning, Sensors and Processors

AVM 2020 Call for Papers PDF

IS&T AVM wins AutoSens Most Engaging Content Award September 2019

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Conference Overview

Advancements in sensing, computing, image processing, and computer vision technologies are enabling unprecedented growth and interest in autonomous vehicles and intelligent machines, from self-driving cars to unmanned drones, to personal service robots. These new capabilities have the potential to fundamentally change the way people live, work, commute, and connect with each other, and will undoubtedly provoke entirely new applications and commercial opportunities for generations to come.

The main focus of AVM is perception. This begins with sensing. While imaging continues to be an essential emphasis in all EI conferences, AVM also embraces other sensing modalities important to autonomous navigation, including radar, LiDAR, and time of flight. Realization of autonomous systems also includes purpose-built processors, e.g., ISPs, vision processors, DNN accelerators, as well core image processing and computer vision algorithms, system design and architecture, simulation, and image/video quality. AVM topics are at the intersection of these multi-disciplinary areas. AVM is the Perception Conference that bridges the imaging and vision communities, connecting the dots for the entire software and hardware stack for perception, helping people design globally optimized algorithms, processors, and systems for intelligent “eyes” for vehicles and machines.

In 2020, the conference seeks high-quality papers featuring novel research in areas intersecting sensing, imaging, vision and perception with applications including, but not limited to, autonomous cars, ADAS (advanced driver assistance system), drones, robots, and industrial automation. Due to high demand from AVM 2018 and 2019 participants, we are in particular interested in topics related to new forms of sensors like LiDAR, Radar, and multi-modal sensor fusion, validation for autonomous vehicles and the perception related processors and algorithms, and the evolution of Image Signal Processor (ISP) with new techniques such as CNN. AVM welcomes both academic researchers and industrial experts to join the discussion. In addition to technical presentations, AVM will include open forum discussions, moderated panel discussions, demonstrations, and exhibits.

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Important Dates
Call for Papers Announced 1 April 2019
Journal-first Submissions Due 15 Jul 2019
Abstract Submission Site Opens 1 May 2019
Review Abstracts Due (refer to For Authors page
· Early Decision Ends 15 Jul 2019
· Regular Submission Ends 30 Sept 2019
· Extended Submission Ends 14 Oct 2019
 Final Manuscript Deadlines  
 · Manuscripts for Fast Track 25 Nov 2019
 · All Manuscripts 10 Feb 2020
Registration Opens 5 Nov 2019
Early Registration Ends 7 Jan 2019
Hotel Reservation Deadline 10  Jan 2020
Conference Begins 26 Jan 2020

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View 2017 Proceedings
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Conference Chairs
Robin Jenkin, Nvidia Corporation (United States); Patrick Denny, Valeo (Ireland); Peter van Beek, Intel Corporation (United States)

Program Committee
Umit Batur, Rivian Automotive (United States); Zhigang Fan, Apple Inc. (United States); Ching Hung, Nvidia Corporation (United States); Dave Jasinski, ON Semiconductor (United States); Darnell Moore, Texas Instruments (United States); Bo Mu, OmniVision Technologies Inc. (United States); Binu Nair, United Technologies Research Center (United States); Dietrich Paulus, Universitӓt Koblenz-Landau (Germany);  Pavan Shastry, Continental (Germany); Luc Vincent, Lyft (United States); Weibao Wang, Xmotors.ai (United States); Buyue Zhang, Apple Inc. (United States); Yi Zhang, Argo AI, LLC (United States)