Distributed Mapping Technologies for Autonomous Vehicles

on YouTube ↗39m

" summary

Describes building a distributed map system for autonomous vehicles that delivers high accuracy, reliability, and scalability. Covers the technologies and engineering experience used to solve vehicle localization and related challenges in a production-grade distributed mapping platform.

AI-written summary · about

" chapters (7)

1. 0:00Introduction
2. 1:06Need for vehicle maps
3. 7:27How lidar maps work
4. 10:38Maps as a product
5. 16:23Current challenges
6. 25:12Future ambitions
7. 26:17Q&A

" related talks

• 48mFlying services with a droneKrzysztof Kudrynski, Błażej Kubiak · Voxxed Days Cluj-Napoca 2018
• 26mAutonomy – The Era of Vehicles Without DriversRobert Day, Pierre Lefevre, Brent Shedd, Natalia Pinilla · Arm DevSummit 2021
• 27mDriving Autonomous Vehicles Forward w/Real World ApplicationsVinutha Kallem · MLconf 2022 San Francisco
• 21mAutonomous driving and handling the handoverAdam Kell, Zach Barasz, Karen Francis, Jim Motavalli · Web Summit 2017
• 20mCarMap: Fast 3D Feature Map Updates for AutomobilesRamesh Govindan, Fawad Ahmad, Hang Qiu, Ray Eells, Fan Bai · NSDI 2020
• 31mDeep learning for self-driving vehicle technologyInmar Givoni · Big Data & AI Toronto 2020
• 28mThe Role of High Definition 3D LiDAR in Self Driving CarsJohn Eggert · AI By the Bay 2017
• 15mFrom the Racetrack to the Road - How Open Source Boosts Autonomous Vehicle DevelopmentAlexander Wischnewski · EclipseCon 2022