LogoAutomotive Agile PEP Europe|November 16 – 17, 2020, Online
12:00 PM - 12:30 PM

Moving past level 2 autonomy requires solving the toughest corner cases — cases where how you define the problem, greatly influences the resulting solution.

In this session, AEye, will:

  • discuss some of the toughest edge cases
  • describe intelligent LiDAR (iDAR), and its role in helping cars to understand context, minimize false positives and reduce latency
  • reveal how both LiDAR and iDAR respond to these corner cases
  • explain how advanced perception systems speed detect and classification, paving the way for L3+ levels of autonomy.
  • discuss how the capabilities enabled by advanced LiDAR solutions are being packaged by tier 1s to meet the needs of automotive OEMs
Computer Vision
Machine Learning + AI
Sensor Fusion

Jordan Greene

Founder and VP of Strategy & Partnerships

Jordan is responsible for defining and managing the ongoing execution of AEye’s strategic business goals with partners, investors, and internally. Jordan was formerly an Operating Partner at Tri-Valley Capital, an early-stage investment firm focused on fostering companies at the intersection of hardware, software, and data. He co-led investments into a number of enterprise software-enabled companies, including AEye, Deep Sentinel, Vivalnk, 4DS, and more. Prior to Tri-Valley Capital, Jordan was the Co-Founder and Head of Business Development for VIRES Aeronautics, a startup focused on improving the aerodynamics of vehicles through new methods in mechanical design. Jordan received his Bachelor’s of Science at the Haas School of Business at the University of California, Berkeley in addition to a Concentration in Engineering Leadership from the College of Engineering. Jordan has been recognized in Forbes 30 Under 30, Kairos 50, and Inc Magazine’s Coolest College Startups amongst receiving Cal Alumni Association’s Leadership Award, Rotary Club of Ignacio Outstanding Achievement Award, and NYSA’s Achievement Award.

AEye is the creator of iDAR™ (Intelligent Detection and Ranging), the premier artificial perception platform for vehicle autonomy, ADAS, and robotic vision. iDAR takes solid-state agile LiDAR, fuses it with an optional camera, then integrates AI to create a smart, software definable platform for more accurate perception. With agile, active targeting and intelligence at the edge of the network, the iDAR platform quickly scans a scene, extracting only the data that matters. It can capture classification attributes of small, low-reflective objects at distances greater than 160 meters, pivotal for automated driving in both passenger cars and commercial vehicles.