Tutorial sessions are offered to AutoSensLEARN attendees. Enhance your AutoSens learning experience by booking your AutoSensLEARN ticket and attending any or all three of our expert-led tutorials. You can also buy a Tutorial Only pass, if you have a particular interest in only one of these tutorials.
These expert-led tutorials are the perfect in-depth, technical accompaniment to the main conference agenda, covering a range of topics and themes. To attend the tutorials, in addition to the main conference sessions, please book your AutoSensLEARN bundle using the buttons below.
Tutorial 1: Image Quality: Industry Standards and Developments for Automotive Applications
Date: Wednesday November 4, 2020
Time: 4-7pm GMT
Led by: Peter D. Burns and Don Williams
Don Williams, founder of Image Science Associates, was with Kodak Research Laboratories. His work focuses on quantitative signal and noise performance metrics for digital capture imaging devices and imaging fidelity issues. He co-leads the TC 42 standardization efforts on digital print and film scanner resolution (ISO 16067-1, ISO 16067-2), scanner dynamic range (ISO 21550), and is the editor for the second edition to digital camera resolution (ISO 12233).
Tutorial 2: Flying Through The World of LiDAR
Date: Thursday November 5, 2020
Time: 4-6pm GMT
Led by: Wade Appelman, Vice President, Edel Cashman, Applications Manager, and John Murphy, Director for Marketing & Business Development, SenSL Division, ON Semiconductor
– Design tradeoffs to achieve cost, performance, and time to market
– Detector physics; how do the various approaches work
– Automotive Qualification; Challenges in the real world for LiDAR detectors
– Schematic reviews on LiDAR reference design for readout, power, and optical paths
Tutorial 3: Modelling and simulation for autonomous vehicles
Date: Tuesday November 10, 2020
Time: 4-7pm GMT
Led by: Daniel Carruth, Associate Director, Advanced Vehicle Systems group, Mississippi State University
Autonomous vehicle modeling and simulation
• Basics of modeling and simulation
• Review of available commercial and non-commercial software packages
• Discussion of relative strengths and weaknesses of available tools
• Developing simulated tests for autonomous vehicles
• Vehicle Data
• Sensor Data
• Sensor Configurations
• Autonomous System Interfaces
• Automation and Coverage of Test Scenarios
• Virtual Environments
• Agents (Vehicles, Pedestrians, Animals)
• Missions/Objectives for Scenarios
• Metrics and Analysis of Performance
• Set up and run basic tests of autonomous vehicles
• Modifying existing vehicle data
• Modifying test parameters
This will include a hands-on portion. The process will be demonstrated by the speaker but attendees will most benefit if they can:
1. Use two monitors, to follow the session and also work on a Windows or Linux Ubuntu machine
2. Install the MAVS software (registered attendees will receive additional information)
Running the software requires no programming knowledge. Making modifications to the settings and taking full advantage of the simulation software requires some Python knowledge.
Daniel Carruth is interested in human perception, cognition, and action in the context of real-world whole body tasks. Dr. Carruth\’s research interests include modeling and simulation of human interaction with autonomous vehicles as well as the study of cognitive and physical factors impacting human performance in athletics, law enforcement, and military domains. Dr. Carruth develops and uses virtual environments for simulation and training.