IoT and the Autonomous Vehicle in the Clouds: Simultaneous Localization and Mapping (SLAM) with Kafka and Spark Streaming

Objective: Guidance
Audience Level: Student/Early Career
Session Type: Student Opportunity Lab

The simultaneous localization and mapping (SLAM) problem is the cutting edge of robotics for autonomous vehicles, and a key challenge in both industry and research. Our new integrated framework demonstrates a constrained SLAM using online algorithms to navigate and map in real time using the Turtlebot II. We explore key benchmarks, and implications on the future of autonomous vehicles in the cloud

Speaker(s)

, data scientist/ advisory software engineer, IBM Watson