Results 41 to 50 of about 1,759,726 (286)

Characterisation and cancellation of medium grazing angle sea clutter

, 2022
S.172-175High grazing angle sea clutter data were collected and characterised using two different airborne radars with HH and VV polarisations. The ability to cancel sea clutter using single-channel and multi-channel coherent signal processing is ...
Cerutti-Maori, D., Damini, A., McDonald, M.   +2 more
core   +1 more source

The Doppler Spectra of Medium Grazing Angle Sea Clutter; Part 1: Characterisation [PDF]

, 2016
This paper is concerned with the characterisation of Doppler spectra from high range resolution X-band radar sea clutter observed from an airborne platform over the range of grazing angles, 15° to 45°.
Rosenberg, L, Ritchie, MA, Watts, S, Bocquet, S   +3 more
core  

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

Advanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska, Kaushik Jayaram, Nicole Xu   +2 more
wiley   +1 more source

Analysis of amplitude statistical and correlation characteristics of high grazing angle sea-clutter

The Journal of Engineering, 2019
Research on the characteristics of sea clutter has always been the focus in the problem of sea target detection as an indispensable part. In recent years, the problem of sea clutter characteristics under medium-high grazing angle is also paid more and ...
Heng-Yan Liu, Jie Song, Wei Xiong, Ya-Qi Cui, Ya-Fei Lv, Jun Liu   +5 more
doaj   +1 more source

Radar Clutter Backscattering Simulation for Specific Sites [PDF]

, 2007
The state of development of the surface clutter prediction model DORTE is presented. This simulation program utilizes Digital Elevation Models and land use information to calculate reflectivity maps for specific sites with optional statistical variation ...
Rode, Gerald
core  

Task‐Oriented Path Planning Towards Autonomous Sensor Network Deployment in Rainforest Canopies

Advanced Robotics Research, EarlyView.
An informative path planner for drone‐based deployment of wireless sensor networks in rainforest canopies is presented, addressing key challenges in large‐scale biodiversity monitoring. By integrating canopy surface detection with connectivity‐aware sampling under strict flight constraints, the approach enables efficient and reliable aerial sensor ...
Rita Santos Raminhos, Salua Hamaza
wiley   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

An airborne radar sea clutter spectrum parameters estimation method based on intelligent learning

Xibei Gongye Daxue Xuebao
Traditional airborne radar sea clutter suppression methods have a high degree of human participation and large errors in estimating the clutter power spectrum.
FAN Yifei, WANG Xinbao, SU Jia, TAO Mingliang, CHEN Ming, WANG Ling   +5 more
doaj   +1 more source