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Thursday, June 7, 2018
LiDAR training data best practices
Speaker:
Mohammad Musa, Founder and CEO at Deepen AI
Location:
AMD 2485 Augustine Dr, Santa Clara, CA 95054 (Google Maps)
Venue Details: Please park in parking structure close to the building on Octavius Drive. First building after passing AMD and the road does a curve to the right. Please walk around AMD building to the Highway 101 side to the visitor entrance.
Need visitor registration to enter this facility. Please register here.
Schedule:
6:30pm-7:00pm: Registration, Food, Networking
7:00pm-8:00pm: Talk
8:00pm-8:30pm: Q&A and Networking
Cost:
FREE
Donations accepted at the door
Abstract:
Accurate LiDAR classification and segmentation is required for developing critical ADAS and Autonomous Vehicles components. Mainly, its required for high definition mapping and developing perception and path/motion planning algorithms. This talk will cover best practices for how to accurately annotate and benchmark your AV/ADAS models against LiDAR ground truth training data.
Biography:
Mohammad Musa started Deepen AI in January 2017 focusing on AI tools and infrastructure for the Autonomous Development industry. Mohammad used to lead product efforts for Google wide Initiatives to enable teams to build excellent products. He worked specifically on infrastructure products for tracking user centered metrics, bug management and user feedback loops. Prior to that, he was the head of Launch & Readiness at Google Apps for Work where he lead a cross functional team managing product launches, product roadmap, trusted tester and launch communications. Before Google, Mohammad worked in software engineering and technical sales positions in the video games and semiconductor industries in multiple startups.
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