LiDAR-based detection, tracking, and property estimation: A contemporary review
Object detection, Person tracking, and Person property estimation (PPE) are identical
innovation areas trying to improve their accuracy in different parameters to fit various real …
innovation areas trying to improve their accuracy in different parameters to fit various real …
Maritime traffic monitoring based on vessel detection, tracking, state estimation, and trajectory prediction
Maneuvering vessel detection and tracking (VDT), incorporated with state estimation and
trajectory prediction, are important tasks for vessel navigational systems (VNSs), as well as …
trajectory prediction, are important tasks for vessel navigational systems (VNSs), as well as …
Online prediction of ship behavior with automatic identification system sensor data using bidirectional long short-term memory recurrent neural network
M Gao, G Shi, S Li - Sensors, 2018 - mdpi.com
The real-time prediction of ship behavior plays an important role in navigation and intelligent
collision avoidance systems. This study developed an online real-time ship behavior …
collision avoidance systems. This study developed an online real-time ship behavior …
[PDF][PDF] Ocean vessel trajectory estimation and prediction based on extended Kalman filter
The accurate estimation and prediction of the trajectories of maneuvering vessels in ocean
navigation are important tools to improve maritime safety and security. Therefore, many …
navigation are important tools to improve maritime safety and security. Therefore, many …
Optimal point-to-point motion planning of non-holonomic mobile robots in the presence of multiple obstacles
This paper presents theoretical and experimental investigations in dynamic modeling and
optimal path planning of a non-holonomic mobile robot in cluttered environments. A mobile …
optimal path planning of a non-holonomic mobile robot in cluttered environments. A mobile …
Robust online obstacle detection and tracking for collision-free navigation of multirotor uavs in complex environments
Object detection and tracking is a challenging task, especially for unmanned aerial robots in
complex environments where both static and dynamic objects are present. It is, however …
complex environments where both static and dynamic objects are present. It is, however …
Fusion of multiple 2D LiDAR and RADAR for object detection and tracking in all directions
For autonomous vehicle and ADAS (Advanced Driver Assistance System), it is essential to
detect and to track objects within a certain area in realtime. This paper presents the 2D …
detect and to track objects within a certain area in realtime. This paper presents the 2D …
Determining forbidden steering directions for a passenger car in urban environments based on the velocity obstacle approach and use of trackers
PT Megda, BA Esteves, M Becker - IX Latin American Robotics …, 2011 - ieeexplore.ieee.org
One of the most challenging tasks for autonomous passenger cars in urban-like
environments is to select the ideal steering angle to avoid collisions with pedestrians and …
environments is to select the ideal steering angle to avoid collisions with pedestrians and …
[PDF][PDF] Laser measurement system based maneuvering target tracking formulated by adaptive competitive neural networks
To improve safety and security issues, maneuvering target detection and tracking are
important facilities for navigation systems. Therefore, conventional navigation systems are …
important facilities for navigation systems. Therefore, conventional navigation systems are …
Proposed Autonomous Vehicle Framework for Safe Driving
AS Winoto, M Kristianus, B Linardi… - 2019 7th International …, 2019 - ieeexplore.ieee.org
The proposed idea to improve the usage of an autonomous vehicle to increase safe driving
based on the DARPA project, which already has shown the bright future of the autonomous …
based on the DARPA project, which already has shown the bright future of the autonomous …