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Found 8 papers, 1 papers with code
A Depth-Adaptive Filtering Method for Effective GPR Tree Roots Detection in Tropical Area
The technique is successfully validated using SFCW GPR data from actual sites in a tropical area with different soil moisture levels, and the two-dimensional (2D) radar map of subsurface root systems is highly improved compared to existing methods.
Risk-aware Safe Control for Decentralized Multi-agent Systems via Dynamic Responsibility Allocation
Decentralized control schemes are increasingly favored in various domains that involve multi-agent systems due to the need for computational efficiency as well as general applicability to large-scale systems.
Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions
In particular, the framework 1) extends control barrier functions (CBFs) in a stochastic setting to achieve provable high-probability safety under uncertainty during model learning and 2) integrates an optimism-based exploration strategy to efficiently guide the safe exploration process with learned dynamics for \emph{near optimal} control performance.
Accurate Tree Roots Positioning and Sizing over Undulated Ground Surfaces by Common Offset GPR Measurements
Normally, the ground surface above the tree roots is assumed to be flat, and standard processing methods based on hyperbolic fitting are applied to the hyperbolae reflection patterns of tree roots for detection purposes.
Dual-Cross-Polarized GPR Measurement Method for Detection and Orientation Estimation of Shallowly Buried Elongated Object
In addition, we present a dual-cross-polarized orientation estimation (DCPOE) algorithm to estimate the object orientation from the two cross-polarized data.
SFCW GPR tree roots detection enhancement by time frequency analysis in tropical areas
In high moisture tropical areas such as Singapore, tree fall due to root rot can cause loss of lives and properties.
Slice-Connection Clustering Algorithm for Tree Roots Recognition in Noisy 3D GPR Data
3D mapping of tree roots is a popular ground-penetrating radar (GPR) application.
Active Learning with Gaussian Processes for High Throughput Phenotyping
A looming question that must be solved before robotic plant phenotyping capabilities can have significant impact to crop improvement programs is scalability.
