Alignment of data captured by autonomous vehicles to generate high definition maps
AssigneeDeepmap Inc.
InventorsChen Chen, Jeffrey Minoru Adachi
Life of this patent
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AssigneeDeepmap Inc.
InventorsChen Chen, Jeffrey Minoru Adachi
Estimating the term…
A high-definition map system receives sensor data from vehicles travelling along routes and combines the data to generate a high definition map for use in driving vehicles, for example, for guiding autonomous vehicles. A pose graph is built from the collected data, each pose representing location and orientation of a vehicle. The pose graph is optimized to minimize constraints between poses. Points associated with surface are assigned a confidence measure determined using a measure of hardness/softness of the surface. A machine-learning-based result filter detects bad alignment results and prevents them from being entered in the subsequent global pose optimization. The alignment framework is parallelizable for execution using a parallel/distributed architecture. Alignment hot spots are detected for further verification and improvement. The system supports incremental updates, thereby allowing refinements of sub-graphs for incrementally improving the high-definition map for keeping it up to date.
A method for generating high definition maps for use in the driving of autonomous vehicles, the method comprising:
A non-transitory computer readable storage medium storing instructions for:
A computer system comprising:
Dependencies are inferred from the claim text.