AutoSens in Detroit has a number of activities spanning from May 13-16 2019.
May 13 – IEEE P2020 Working Group
By invitation only – registration link to follow
Day One: May 14 – Tutorial Day, Exhibition, Roundtable Discussions and Autonomous Vehicle Demonstrations
Topics include Infrared Camera Sensing, ROS, Material Interactions and Enabling Technologies for Automated Driving, during which tutors will lead groups through collaborative and interactive discussions.
For access to the Tutorial Day, just book an “AutoSensLEARN” ticket – Book here.
The AutoSens Exhibition opens for the week, at 12.30pm for all AutoSens attendees regardless of the ticket you hold.
Autonomous Vehicle Track Demos will begin at 12.30pm.
Access to the demos is included in all tickets, including AutoSensLITE – which also provides access to the main AutoSens exhibition (on Tuesday afternoon only for LITE ticket holders). Book here.
There will be a number of roundtable discussion sessions at 5:45pm, open to all AutoSens attendees regardless of the tickets you hold.
1. “Addressing safety with deep learning and perception developments” led by Ouster
Lidar as a critical sensing and safety modality for autonomous vehicles has resulted in a need for computer vision scientists to develop new algorithms to segment, track, and classify point clouds. Progress has been limited by the inability to apply decades of methodologies from camera-based vision due to the novel data formats that lidar output. Recent breakthroughs in lidar hardware enable camera-like imagery of both ambient and signal data in a rectilinear camera-like grid. With lidar data on a 2D grid, camera-based algorithms developed over the past decade can be applied to point cloud data, solving industry challenges in data usability and labeling, while also aiding in developing 3D point cloud and perception algorithms. These breakthroughs are key to making sure that safety is fully addressed as vehicles are given decision-making capabilities.
2. “Deconstructing Conventional LiDAR Metrics” led by AEye
How do you measure the effectiveness of an intelligent, LiDAR-based perception system for autonomous vehicles? Conventional evaluation metrics favor detect range, frame rate and resolution. However, is this the most technically appropriate criteria for measuring the unique capabilities of second generation LiDAR systems? Which metrics best align with the real-world problems facing autonomous driving? This roundtable will discuss new metrics for assessing the performance of LiDAR-based perception systems, exploring which criteria are the most advantageous for autonomous vehicle development.
PLUS! a Welcome Drinks Reception in the Exhibition Zone.
Day Two: May 15 – Conference Day 1, Exhibition and Evening Reception
- 40+ speakers, presenting over 2 days
- Extensive networking sessions
- Poster session
- Panel discussions
- Technology exhibition with over 30 displays
Day Three: May 16 – Conference Day 2 and Exhibition
The proceedings will close with a second day of conference content, consisting of two further program tracks and a closing plenary session featuring the world’s most renowned technical experts covering the latest essential topics in vehicle perception technology.