Memristor-based adaptive neuromorphic perception in unstructured environments [PDF]
Nature Communications, 2023 Efficient operation of control systems in robotics or autonomous driving targeting real-world navigation scenarios requires perception methods that allow them to understand and adapt to unstructured environments with good accuracy, adaptation, and ...
Shengbo Wang +11 more
doaj +9 more sources
Autonomous Reading of Gauges in Unstructured Environments [PDF]
Sensors, 2022 This paper introduces GAUREAD, an end-to-end computer vision system that is able to autonomously read analogic gauges with circular shapes and linear scales in unstructured environments.
Edoardo Milana +2 more
doaj +5 more sources
Twisting for soft intelligent autonomous robot in unstructured environments. [PDF]
Proc Natl Acad Sci U S A, 2022 Significance Autonomy is crucial for soft robotics that are constructed of soft materials. It remains challenging to create autonomous soft robots that can intelligently interact with and adapt to changing environments without external controls. To do so,
Zhao Y +5 more
europepmc +4 more sources
Keypoint Detection and Description through Deep Learning in Unstructured Environments
Robotics, 2023 Feature extraction plays a crucial role in computer vision and autonomous navigation, offering valuable information for real-time localization and scene understanding.
Georgios Petrakis +1 more
doaj +4 more sources
A Novel Real-Time Edge-Guided LiDAR Semantic Segmentation Network for Unstructured Environments
Remote Sensing, 2023 LiDAR-based semantic segmentation, particularly for unstructured environments, plays a crucial role in environment perception and driving decisions for unmanned ground vehicles.
Xiaoqing Yin +4 more
doaj +2 more sources
An Optimized Trajectory Planner and Motion Controller Framework for Autonomous Driving in Unstructured Environments. [PDF]
Sensors (Basel), 2021 This paper proposes an optimized trajectory planner and motion planner framework, which aim to deal with obstacle avoidance along a reference road for autonomous driving in unstructured environments.
Xiong L, Fu Z, Zeng D, Leng B.
europepmc +2 more sources
A Novel Occupancy Mapping Framework for Risk-Aware Path Planning in Unstructured Environments. [PDF]
Sensors (Basel), 2021 In the context of autonomous robots, one of the most important tasks is to prevent potential damage to the robot during navigation. For this purpose, it is often assumed that one must deal with known probabilistic obstacles, then compute the probability ...
Laconte J +6 more
europepmc +3 more sources
Learning-Based Methods of Perception and Navigation for Ground Vehicles in Unstructured Environments: A Review. [PDF]
Sensors (Basel), 2020 The problem of autonomous navigation of a ground vehicle in unstructured environments is both challenging and crucial for the deployment of this type of vehicle in real-world applications.
Guastella DC, Muscato G.
europepmc +2 more sources
A Method for Real-Time Recognition of Safflower Filaments in Unstructured Environments Using the YOLO-SaFi Model. [PDF]
Sensors (Basel)The identification of safflower filament targets and the precise localization of picking points are fundamental prerequisites for achieving automated filament retrieval. In light of challenges such as severe occlusion of targets, low recognition accuracy,
Chen B, Ding F, Ma B, Wang L, Ning S.
europepmc +2 more sources
Targetless Camera-LiDAR Calibration in Unstructured Environments
IEEE Access, 2020 The camera-Lidar sensor fusion plays an important role in autonomous navigation research. Nowadays, the automatic calibration of these sensors remains a significant challenge in mobile robotics. In this article, we present a novel calibration method that
Miguel Angel Munoz-Banon +2 more
doaj +2 more sources