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Perception-driven Machine Learning for AD/ADAS systems

Video Case Study: Perception-driven Machine Learning for AD/ADAS systems

Fill in the form below to view the case study from Sohini Roy Chowdhury, Senior Research Lead and Petter Hörling, Senior Director Silicon Valley R&D Tech Center from Volvo Car Corporation.

Volvos approach of Perception-driven machine learning for ad adas systems

In their exclusive case study, they discuss the importance of camera and LiDAR for building robust perception systems.

Case Study Highlights

  • Benchmarks and challenges for camera-related perception (object detection, lane detection, semantic segmentation)
  • Benchmarks and challenges for Lidar-related perception (3D bounding boxes, semantic segmentation).
  • Importance of perception in car to cloud communications: Example RFI v1 and vision-based RFI (IJCNN paper)
  • The importance of data sharing and building a community with shared resources.

If you want to go deeper, join us at the Auto.AI Europe. Take a look at the agenda for more information.

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