Applications of machine vision in agricultural robot navigation: A review
T Wang, B Chen, Z Zhang, H Li, M Zhang - Computers and Electronics in …, 2022 - Elsevier
Many tasks in smart agriculture have further requirements for the autonomous navigation of
agricultural robots. Due to irreplaceable visual information and low-cost hardware costs …
agricultural robots. Due to irreplaceable visual information and low-cost hardware costs …
Pedestrian models for autonomous driving part ii: high-level models of human behavior
Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
Rellis-3d dataset: Data, benchmarks and analysis
Semantic scene understanding is crucial for robust and safe autonomous navigation,
particularly so in off-road environments. Recent deep learning advances for 3D semantic …
particularly so in off-road environments. Recent deep learning advances for 3D semantic …
Tartandrive: A large-scale dataset for learning off-road dynamics models
S Triest, M Sivaprakasam, SJ Wang… - … on Robotics and …, 2022 - ieeexplore.ieee.org
We present TartanDrive, a large scale dataset for learning dynamics models for off-road
driving. We collected a dataset of roughly 200,000 off-road driving interactions on a modified …
driving. We collected a dataset of roughly 200,000 off-road driving interactions on a modified …
Assessment of deep convolutional neural networks for road surface classification
When parameterizing vehicle control algorithms for stability or trajectory control, the road-tire
friction coefficient is an essential model parameter when it comes to control performance …
friction coefficient is an essential model parameter when it comes to control performance …
The Rosario dataset: Multisensor data for localization and mapping in agricultural environments
In this paper we present the Rosario dataset, a collection of sensor data for autonomous
mobile robotics in agricultural scenes. The dataset is motivated by the lack of realistic sensor …
mobile robotics in agricultural scenes. The dataset is motivated by the lack of realistic sensor …
[HTML][HTML] Object detection and tracking in Precision Farming: a systematic review
Abstract Object Detection and Tracking have gained importance in recent years because of
the great advances in image and video analysis techniques and the accurate results these …
the great advances in image and video analysis techniques and the accurate results these …
Fieldsafe: dataset for obstacle detection in agriculture
In this paper, we present a multi-modal dataset for obstacle detection in agriculture. The
dataset comprises approximately 2 h of raw sensor data from a tractor-mounted sensor …
dataset comprises approximately 2 h of raw sensor data from a tractor-mounted sensor …
Implementation of a human‐aware robot navigation module for cooperative soft‐fruit harvesting operations
In the last decades, robotic solutions have been introduced in agriculture to improve the
efficiency of tasks such as spraying, plowing, and seeding. However, for a more complex …
efficiency of tasks such as spraying, plowing, and seeding. However, for a more complex …
Multi-modal lidar dataset for benchmarking general-purpose localization and mapping algorithms
Lidar technology has evolved significantly over the last decade, with higher resolution, better
accuracy, and lower cost devices available today. In addition, new scanning modalities and …
accuracy, and lower cost devices available today. In addition, new scanning modalities and …