LiDAR-based localization using universal encoding and memory-aware regression.
Shangshu YuCheng WangChenglu WenMing ChengMinghao LiuZhihong ZhangXin LiPublished in: Pattern Recognit. (2022)
Keyphrases
- regression model
- high resolution
- regression forests
- computing power
- regression analysis
- memory requirements
- point cloud
- regression algorithm
- encoding scheme
- memory size
- lidar data
- computational power
- memory usage
- regression function
- localization method
- localization algorithm
- low memory
- fractal image compression
- partial least squares
- object localization
- data structure
- data sets
- model selection
- regression problems
- gaussian processes
- support vector regression
- linear regression
- neural network
- locally weighted
- database systems
- main memory
- regression methods
- simple linear
- limited memory
- regression method
- past experience