ATTENTION: We're pleased to announce that EI 2021 will be fully online! We recognize that one of the most important features of attending EI is interacting with colleagues from Industry and Academia. We are committed to making community connection a priority and to providing ample opportunities to meet and discuss personally with others. We see the move to an online platform as an opportunity for greater numbers of people to join from around the world. Join us on this exciting adventure . . . submit your work today!
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 2021, 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.
2021 Conference Topics
- Perception for autonomous vehicles
- Computer vision, machine vision, analytics
- Multi-modal sensing (Radar, Lidar, Imager, etc.) and sensor configurations
- Sensor fusion (Radar, Lidar, camera, ultrasound, GPS, thermal, TOF, etc.)
- Mapping and localization; High Definition maps for autonomous vehicles
- Artificial intelligence; Deep convolutional neural networks; Machine learning
- Image processing algorithms, human vision related to autonomous machines
- 3D reconstruction; Surround perception
- Image signal processors (ISP); Vision processors; DNN accelerators
- The evolution of ISP with new techniques such as CNN; Vision pipeline
- Autonomous driving and sensor simulation
- Validation of autonomous vehicles
- Validation of perception processors and algorithms
- Autonomous driving system architecture
2021 Special Sessions
For Autonomous Vehicles and Machines 2021, submissions are particularly encouraged for the planned special sessions.
Image Quality for Autonomous Vehicles
(hosted jointly with the Image Quality and System Performance conference)
Session Organizing Chair:
Robin Jenkin, Nvidia Corporation (United States)
Awards
Best Paper Award
Best Student Paper Award
Past winners
2021 Committee
Conference Chairs
Robin Jenkin, NVIDIA Corporation (United States)
Patrick Denny, Valeo (Ireland)
Peter J. van Beek, Intel Corporation (United States)
Program Committee
Umit Batur, Rivian Automotive (United States)
Alexander Braun, University of Applied Sciences Düsseldorf (Germany)
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 M. Nair, United Technologies Research Center (United States)
Dietrich Paulus, Universitӓt Koblenz-Landau (Germany)
Pavan Shastry, Continental (Germany)
Weibao Wang, Xmotors.ai (United States)
Yi Zhang, Argo AI, LLC (United States)