Deep sensor fusion for perception and navigation of complex real-world driving scenes

Autonomous vehicles use multiple sensors to perceive driving scenes. Sensor fusion leverages Machine Learning and integrates multi-modal sensor data into a precise understanding of the driving environment. This scene interpretation is then used to adaptively learn realistic driving behavior and traffic patterns.

In this webinar, you will hear from our experts how precise scene understanding and navigation can be achieved using sensor fusion and deep learning.

Examples will include:

• Multi-sensor, multi-object detection and tracking, localization and mapping
• Scene visualization to train the driving policy using deep learning techniques (imitation learning, reinforcement learning)
• Virtual scenario generation and simulation-based validation

Speakers: