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GTC Silicon Valley-2019 ID:S9351:Methods for Creating and Updating HD Maps for Localization and Simulation - Part 2

Geetank Raipuria(NavInfo Europe),Vladimir Shestak(HERE Technologies),Justyna Zander(NVIDIA)
Leaders from the mapping technology companies will discuss the advantages of various algorithms to create and maintain maps, followed by a short Q&A session. HERE: Vladimir Shestak, Lead Software Engineer Automated Driving Edge Perception for HD Map Maintenance: We start this talk by presenting a brief overview of HD Live Map created by HERE and its use for connected ADAS or automated driving solutions. Although building such a map with a required centimeter level precision is technically hard, the instant the HD Live Map is built, changes in the real world can occur causing the map to no longer reflect reality.  Hence, a proper maintenance strategy must be in place with the goal to identify discrepancies between the HD Live Map and the real world and heal the HD Live Map as quickly as possible. We discuss a spectrum of techniques developed by HERE to address the map-healing process and then focus on our low-cost solutions for in-vehicle change detection. The example system employs a consumer-grade Android-based sensing system streaming imagery and telemetry in real-time into HERE Edge Perception software stack. We present the high-level software architecture of the stack, its main components, i.e., feature detection, object tracking and triangulation, RWO and Maplet generation, as well as in-vehicle deployment options. The real-time performance evaluation of the system concludes our talk. NavInfo Europe:  Geetank Raipuria, Computer Vision Engineer Real-Time Object Detection and Semantic Segmentation: This session will discuss how NavInfo uses computer vision and deep learning to build high-definition maps that cover China's highways and large city streets. This involves performing object detection and semantic segmentation on visual imagery collected from vehicle sensors. The NavInfo Europe Advanced Research Lab creates processes that extract information from this data, both in real-time onboard vehicles using the NVIDIA DRIVE platform, and faster than real-time, processing offline gathered video material through NVIDIA DeepStream.

View the slides (part-2), View the slides (part-3), View the slides (part-4)