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 …

Pedestrian models for autonomous driving part ii: high-level models of human behavior

F Camara, N Bellotto, S Cosar, F Weber… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
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 …

Rellis-3d dataset: Data, benchmarks and analysis

P Jiang, P Osteen, M Wigness… - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
Semantic scene understanding is crucial for robust and safe autonomous navigation,
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 …

Assessment of deep convolutional neural networks for road surface classification

M Nolte, N Kister, M Maurer - 2018 21st International …, 2018 - ieeexplore.ieee.org
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 …

The Rosario dataset: Multisensor data for localization and mapping in agricultural environments

T Pire, M Mujica, J Civera… - The International Journal …, 2019 - journals.sagepub.com
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 …

[HTML][HTML] Object detection and tracking in Precision Farming: a systematic review

M Ariza-Sentís, S Vélez, R Martínez-Peña… - … and Electronics in …, 2024 - Elsevier
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 …

Fieldsafe: dataset for obstacle detection in agriculture

MF Kragh, P Christiansen, MS Laursen, M Larsen… - Sensors, 2017 - mdpi.com
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 …

Implementation of a human‐aware robot navigation module for cooperative soft‐fruit harvesting operations

L Guevara, M Hanheide, S Parsons - Journal of Field Robotics, 2024 - Wiley Online Library
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 …

Multi-modal lidar dataset for benchmarking general-purpose localization and mapping algorithms

L Qingqing, Y Xianjia, JP Queralta… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
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 …