ArticleSensors (Basel, Switzerland)2019
Intelligent Beetle Antennae Search for UAV Sensing and Avoidance of Obstacles.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Enhancing Target Tracking: A Novel Grid-Based Beetle Antennae Search Algorithm and Confusion-Aware Detection.Biomimetics (Basel, Switzerland) · 2024Article
- Research on Gate Opening Control Based on Improved Beetle Antennae Search.Sensors (Basel, Switzerland) · 2024Article
- Credit and Loan Approval Classification Using a Bio-Inspired Neural Network.Biomimetics (Basel, Switzerland) · 2024Article
- A Real-Time Path Planning Method for Urban Low-Altitude Logistics UAVs.Sensors (Basel, Switzerland) · 2023Article
- Online Tracking of Maneuvering Target Trajectory Based on Chaotic Time Series Prediction.Entropy (Basel, Switzerland) · 2022Article
- Bio-inspired Machine Learning for Distributed Confidential Multi-Portfolio Selection Problem.Biomimetics (Basel, Switzerland) · 2022Article
- Beetle Antennae Search: Using Biomimetic Foraging Behaviour of Beetles to Fool a Well-Trained Neuro-Intelligent System.Biomimetics (Basel, Switzerland) · 2022Article
- Article
- A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple tea fields.Frontiers in plant science · 2022Article
- A Novel Parallel Processing Model for Noise Reduction and Temperature Compensation of MEMS Gyroscope.Micromachines · 2021Article
- Real-Time Compact Environment Representation for UAV Navigation.Sensors (Basel, Switzerland) · 2020Article
- In-Field Calibration of Triaxial Accelerometer Basedon Beetle Swarm Antenna Search Algorithm.Sensors (Basel, Switzerland) · 2020Article
- Real-Time Dynamic Path Planning of Mobile Robots: A Novel Hybrid Heuristic Optimization Algorithm.Sensors (Basel, Switzerland) · 2019Article
- Optimized PID Controller Based on Beetle Antennae Search Algorithm for Electro-Hydraulic Position Servo Control System.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Based on a bio-heuristic algorithm, this paper proposes a novel path planner called obstacle avoidance beetle antennae search (OABAS) algorithm, which is applied to the global path planning of unmanned aerial vehicles (UAVs). Compared with the previous bio-heuristic algorithms, the algorithm proposed in this paper has advantages of a wide search range and breakneck search speed, which resolves the contradictory requirements of the high computational complexity of the bio-heuristic algorithm and real-time path planning of UAVs. Besides, the constraints used by the proposed algorithm satisfy various characteristics of the path, such as shorter path length, maximum allowed turning angle, and obstacle avoidance. Ignoring the
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Registered trials
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