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

Webinar on demand | 52 minutos

Learn how precise scene understanding and navigation can be achieved using sensor fusion

Scene understanding for autonomous vehicles

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:

Viswa Adithya

Senior Engineer, Siemens Digital Industries Software

Ajinkya Bhave

Director and Country Head, Siemens Digital Industries Software

François Gerard

Director Business Development Engineering Services, Siemens Digital Industries Software