AUTOMATIC EXTRACTION AND RECOGNITION OF ROAD MARKINGS BASED ON VEHICLE LASER POINT CLOUD by L. Yao, C. Qin, Q. Chen, H. Wu, S. Zhang

“…The high high-precision map, which is an important supplement of the on on-board sensors under the condition of shielding or the restriction of observation distance, provides a priori information for high high-precision positioning and path planning of the automatic driving with the level of L3 and above. …”
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Deriving Agricultural Field Boundaries for Crop Management from Satellite Images Using Semantic Feature Pyramid Network by Yang Xu, Xinyu Xue, Zhu Sun, Wei Gu, Longfei Cui, Yongkui Jin, Yubin Lan

“…The post-processing methodology would greatly decrease the number of inapplicable and redundant field boundaries for path planning using different CNN models. In addition, the crop planting mode and scale (especially the small-scale planting and small/blurred gap between fields) both make a great difference to the boundary delineation and crop acreage determination.…”
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Impact of evacuation design parameter on users' evacuation time using a multi-agent simulation by Syed Ahmad Fadhli Syed Abdul Rahman, Khairul Nizam Abdul Maulud, Biswajeet Pradhan, Sharifah Nurul Ain Syed Mustorpha, Adi Irfan Che Ani

“…This study found the best path planning obtained from the divide access factor and the impact of the user's capacity is relying on total evacuation time. …”
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Advancing safe mobility: A global analysis of research trends in safe route planning by Auwal Sagir Muhammad, Longbiao Chen, Cheng Wang

“…Several research themes and terms like path planning, safety, walking, and route to school were highlighted through keyword analysis. …”
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XOR Binary Gravitational Search Algorithm with Repository: Industry 4.0 Applications by Mojtaba Ahmadieh Khanesar, Ridhi Bansal, Giovanna Martínez-Arellano, David T. Branson

“…Furthermore, the digital twin of a universal robot is developed, and its path planning is done in the presence of obstacles using the proposed optimization algorithm. …”
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Research on Fast Target Positioning Method of Self-Calibration Manipulator by Xuhui Ye, Yuxuan Tang, Xinyu Hu, Daode Zhang, Qi Chen

“…Firstly, the spatial spherical autonomous path planning is carried out based on the quaternion linear interpolation method to calculate spatially symmetric path trajectory of the calibrator. …”
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Indoor navigation for passengers in underground transit stations using smartphones by Wang, Yin, Ph. D. Massachusetts Institute of Technology

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Predictive modeling and socially aware motion planning in dynamic, uncertain environments by Chen, Yu Fan, Ph. D. Massachusetts Institute of Technology

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Machine Learning Aided Aerial Radiation Mapping by Xue, Shangjie

“…Kalman Filter is applied for incremental estimation of atmospheric concentration and ground release simultaneously, as well as the prediction of concentration evolution. Moreover, a path planning algorithm by maximizing the information gathered from the measurements is also presented. …”
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Reconstructing 3D ocean temperature fields from real-time satellite and buoy surface measurements by Champenois, Bianca

“…Finally, we discuss how the developed ideas can be leveraged to make more informed decisions about optimal in-situ sampling and path planning.…”
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Solving hybrid decision-control problems through conflict-directed branch & bound by Krishnan, Raj, 1980-

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Parametrized maneuvers for autonomous vehicles by Dever, Christopher W. (Christopher Walden), 1972-

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Development of a guidance, navigation and control architecture and validation process enabling autonomous docking to a tumbling satellite by Nolet, Simon, 1975-

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Development and evaluation of a new image-based user interface for robot-assisted needle placements with the robopsy system by Hanumara, Nevan Clancy, Walsh, Conor James, Slocum, Alexander H., Seitel, Alexander, Shepard, Jo-Anne, Maier-Hein, Lena, Gupta, Rajiv, Meinzer, Hans-Peter

“…In order to highlight the advantages of such an interface, we compared robotic-assisted targeting using the old interface (non-image-based) where the path planning was performed on the CT console and transferred manually to the interface with the targeting procedure using the new interface (image-based). …”
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Autonomous thruster failure recovery for underactuated spacecraft by Pong, Christopher Masaru

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Chance Constrained Finite Horizon Optimal Control by Ono, Masahiro, Williams, Brian Charles, Blackmore, Lars

“…These constraints can handle convex feasible regions, but do not extend readily to problems with non-convex state spaces, such as path planning with obstacles. In this paper we extend our prior work on chance constrained control in non-convex feasible regions to develop a new algorithm that solves the chance constrained control problem with very little conservatism compared to prior approaches. …”
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Cooperative AUV Navigation using a Single Maneuvering Surface Craft by Fallon, Maurice Francis, Papadopoulos, Georgios, Leonard, John Joseph, Patrikalakis, Nicholas M.

“…A study of the system observability is presented so as to motivate both the choice of filtering approach and surface vehicle path planning. The first contribution of this paper is to the presentation of an experiment in which an extended Kalman filter (EKF) implementation of the concept ran online on-board an OceanServer Iver2 AUV while supported by an autonomous surface vehicle moving adaptively. …”
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Human tracking and path prediction for mobile robot navigation in crowded environment by Bhujel, Niraj

“…Tracking humans and forecasting their future path in crowded environments is an essential feature for a mobile robot navigating in a crowded environment to achieve high-level tasks such as human behavior analysis, human interaction modeling, collision-free path planning, and unfreezing robot problems. Tracking multiple humans from a robot perspective is a challenging problem due to appearance changes, similar-looking persons, viewpoint variations, occlusions, pose changes, etc. …”
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Interacting multiple model-based ETUKF for efficient state estimation of connected vehicles with V2V communication by Wang, Yan, Hu, Zhongxu, Lou, Shanhe, Lv, Chen

“…Accurate prediction of the motion state of the connected vehicles, especially the preceding vehicle (PV), would effectively improve the decision-making and path planning of intelligent vehicles. The evolution of vehicle-to-vehicle (V2V) communication technology makes it possible to exchange data between vehicles. …”
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Obstacle detection and SLAM techniques for autonomous vehicles by Chen, Jiaying

“…It refers to the process of a robot creating a map of its environment while simultaneously determining its own location based on onboard sensors, which forms the basis for subsequent tasks such as path planning and avoiding collisions. Traditional SLAM involves robots passively collecting data and building maps with external controllers or human efforts. …”
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