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Study of the Effect of Exploiting 3D Semantic Segmentation in LiDAR Odometry
Study of the Effect of Exploiting 3D Semantic Segmentation in LiDAR Odometry
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Study of the Effect of Exploiting 3D Semantic Segmentation in LiDAR Odometry

Moreno, Francisco Miguel ; Guindel, Carlos ; Armingol, José María ; García, Fernando

Applied sciences, 2020-08, Vol.10 (16), p.5657 [Periódico revisado por pares]

Basel: MDPI AG

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2
A Fast Dynamic Dim Target Tracking Approach for UAVs Using Improved Lightweight Siamese Networks
A Fast Dynamic Dim Target Tracking Approach for UAVs Using Improved Lightweight Siamese Networks
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A Fast Dynamic Dim Target Tracking Approach for UAVs Using Improved Lightweight Siamese Networks

Li, Lianpeng ; Zhao, Xu ; Zhao, Hui

Applied sciences, 2022-12, Vol.12 (23), p.11918 [Periódico revisado por pares]

Basel: MDPI AG

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3
Design of a Reinforcement Learning-Based Lane Keeping Planning Agent for Automated Vehicles
Design of a Reinforcement Learning-Based Lane Keeping Planning Agent for Automated Vehicles
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Design of a Reinforcement Learning-Based Lane Keeping Planning Agent for Automated Vehicles

Kovari, Balint ; Hegedus, Ferenc ; Becsi, Tamas

Applied sciences, 2020-10, Vol.10 (20), p.7171 [Periódico revisado por pares]

Basel: MDPI AG

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4
Traffic Incident Detection Based on Dynamic Graph Embedding in Vehicular Edge Computing
Traffic Incident Detection Based on Dynamic Graph Embedding in Vehicular Edge Computing
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Traffic Incident Detection Based on Dynamic Graph Embedding in Vehicular Edge Computing

Li, Gen ; Nguyen, Tri-Hai ; Jung, Jason J.

Applied sciences, 2021-07, Vol.11 (13), p.5861 [Periódico revisado por pares]

Basel: MDPI AG

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5
Robust Attitude and Heading Estimation under Dynamic Motion and Magnetic Disturbance
Robust Attitude and Heading Estimation under Dynamic Motion and Magnetic Disturbance
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Robust Attitude and Heading Estimation under Dynamic Motion and Magnetic Disturbance

Bo, Fan ; Li, Jia ; Wang, Weibing ; Zhou, Kaiyue

Micromachines (Basel), 2023-05, Vol.14 (5), p.1070 [Periódico revisado por pares]

Switzerland: MDPI AG

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6
The Dynamic Image Analysis of Retaining Wall Crack Detection and Gap Hazard Evaluation Method with Deep Learning
The Dynamic Image Analysis of Retaining Wall Crack Detection and Gap Hazard Evaluation Method with Deep Learning
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The Dynamic Image Analysis of Retaining Wall Crack Detection and Gap Hazard Evaluation Method with Deep Learning

Mo, Dong-Han ; Wu, Yi-Ching ; Lin, Chern-Sheng

Applied sciences, 2022-09, Vol.12 (18), p.9289 [Periódico revisado por pares]

Basel: MDPI AG

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7
Challenges and Solutions for Autonomous Ground Robot Scene Understanding and Navigation in Unstructured Outdoor Environments: A Review
Challenges and Solutions for Autonomous Ground Robot Scene Understanding and Navigation in Unstructured Outdoor Environments: A Review
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Challenges and Solutions for Autonomous Ground Robot Scene Understanding and Navigation in Unstructured Outdoor Environments: A Review

Wijayathunga, Liyana ; Rassau, Alexander ; Chai, Douglas

Applied sciences, 2023-09, Vol.13 (17), p.9877 [Periódico revisado por pares]

Basel: MDPI AG

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8
Enhancing Autonomous Vehicle Navigation with a Clothoid-Based Lateral Controller
Enhancing Autonomous Vehicle Navigation with a Clothoid-Based Lateral Controller
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Enhancing Autonomous Vehicle Navigation with a Clothoid-Based Lateral Controller

Shaju, Aashish ; Southward, Steve ; Ahmadian, Mehdi

Applied sciences, 2024-03, Vol.14 (5), p.1817 [Periódico revisado por pares]

Basel: MDPI AG

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9
Deep Reinforcement Learning-Based Adaptive Controller for Trajectory Tracking and Altitude Control of an Aerial Robot
Deep Reinforcement Learning-Based Adaptive Controller for Trajectory Tracking and Altitude Control of an Aerial Robot
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Deep Reinforcement Learning-Based Adaptive Controller for Trajectory Tracking and Altitude Control of an Aerial Robot

Barzegar, Ali ; Lee, Deok-Jin

Applied sciences, 2022-05, Vol.12 (9), p.4764 [Periódico revisado por pares]

Basel: MDPI AG

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10
Hierarchical Active Tracking Control for UAVs via Deep Reinforcement Learning
Hierarchical Active Tracking Control for UAVs via Deep Reinforcement Learning
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Hierarchical Active Tracking Control for UAVs via Deep Reinforcement Learning

Zhao, Wenlong ; Meng, Zhijun ; Wang, Kaipeng ; Zhang, Jiahui ; Lu, Shaoze

Applied sciences, 2021-11, Vol.11 (22), p.10595 [Periódico revisado por pares]

Basel: MDPI AG

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