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Found 7 papers, 1 papers with code
Range Resolution Enhanced Method with Spectral Properties for Hyperspectral Lidar
We use one single skew-normal distribution (SND) model to fit waveforms of all spectral channels first and count the geometric center position distribution of the echoes to decide whether it contains multi-targets.
Multisensory Omni-directional Long-term Place Recognition: Benchmark Dataset and Analysis
We introduce a new dataset Multisensory Omnidirectional Long-term Place recognition (MOLP) comprising omnidirectional intensity and disparity images.
Robotics
Simultaneous Feature and Body-Part Learning for Real-Time Robot Awareness of Human Behaviors
We formulate FABL as a regression-like optimization problem with structured sparsity-inducing norms to model interrelationships of body parts and features.
Sequence-based Multimodal Apprenticeship Learning For Robot Perception and Decision Making
Apprenticeship learning has recently attracted a wide attention due to its capability of allowing robots to learn physical tasks directly from demonstrations provided by human experts.
Self-Reflective Risk-Aware Artificial Cognitive Modeling for Robot Response to Human Behaviors
In order for cooperative robots ("co-robots") to respond to human behaviors accurately and efficiently in human-robot collaboration, interpretation of human actions, awareness of new situations, and appropriate decision making are all crucial abilities for co-robots.
Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking
Sparse representation has been widely studied in visual tracking, which has shown promising tracking performance.
Space-Time Representation of People Based on 3D Skeletal Data: A Review
Spatiotemporal human representation based on 3D visual perception data is a rapidly growing research area.
