
System Design for Autonomous Vehicles with Drago Anguelov - #454
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Navigating Sensor Fusion in Autonomous Vehicles
This chapter explores the intricacies of sensor fusion in autonomous vehicles, detailing various data integration approaches such as early, late, and mixed fusion. It underscores the significance of maintaining independent failure modes within sensor models to enhance object detection reliability and discusses how different sensor modalities can complement each other in optimizing performance.
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