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Found 8 papers, 3 papers with code
Tree Detection and Diameter Estimation Based on Deep Learning
Tree perception is an essential building block toward autonomous forestry operations.
Training Deep Learning Algorithms on Synthetic Forest Images for Tree Detection
In this work, we propose to use simulated forest environments to automatically generate 43 k realistic synthetic images with pixel-level annotations, and use it to train deep learning algorithms for tree detection.
Instance Segmentation for Autonomous Log Grasping in Forestry Operations
Using our dataset, we then compare three neural network architectures on the task of individual logs detection and segmentation; two region-based methods and one attention-based method.
Dynamic Lambda-Field: A Counterpart of the Bayesian Occupancy Grid for Risk Assessment in Dynamic Environments
While navigating in complex urban environments, the Bayesian occupancy grid is one of the most popular types of maps, where the information of occupancy is stored as the probability of collision.
Autonomous Vehicles
Robotics
68T40
Improving the Iterative Closest Point Algorithm using Lie Algebra
Applications that require accurate maps, such as environmental monitoring, benefit from additional sensor modalities that reduce such drift.
Robotics
Driving Datasets Literature Review
This report is a survey of the different autonomous driving datasets which have been published up to date.
Analysis of Robust Functions for Registration Algorithms
However, without a large scale comparison of solutions to filter outliers, it is becoming tedious to select an appropriate algorithm for a given application.
Robotics
CELLO-3D: Estimating the Covariance of ICP in the Real World
The fusion of Iterative Closest Point (ICP) reg- istrations in existing state estimation frameworks relies on an accurate estimation of their uncertainty.
Robotics
