OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)（2022）
Key words
resource-constrained edge machines,memory requirements,real-time 3D map,dynamic environment,sophisticated 3D mapping,mobile robots,autonomous machines,real-time OctoMap,probabilistic 3D occupancy mapping accelerator,real-time perception,real-time requirement,708 × energy efficiency improvement,3D mapping accelerator,real-time probabilistic 3D mapping,OMU,single-thread design,dynamic voxel node pruning,reliable memory-efficient 3D,probabilistic OctoMap,size 12.0 nm
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined