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