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This paper innovatively proposes an intelligent evaluation method for high-order driving assistance systems based on target object information to address the shortcomings of the evaluation method. Firstly, this article analyzes the advantages of ...

• Our study introduces an efficient method for measuring plant height (PH);
• The ranging elevation (LIDAR_elev) can accurately estimate maize PH;
• Combining vegetation indices (VIs) and texture (TIs) could improve accuracy;
• The ...

Plant height (PH) is a key indicator for assessing plant health and growth, as well as an important criterion for ideotype breeding, making efficient, accurate PH measurement essential. The traditional manual measurement method is small-scale, ...

The development of digital twin for smart city applications requires real-time monitoring and mapping of urban environments. This work develops a framework of real-time urban mapping using an airborne light detection and ranging (LIDAR) agent and game ...

Traffic accidents are continuously rising in many countries all over the world. Violation of road safety regulations and traffic laws is one of major reason to this increasing trend. Existing intelligent transportation systems (ITS) to date are ...

Sealed radioactive sources are used for an extremely wide range of applications, including at various nuclear facilities, universities, hospitals, and biomedical and industrial organizations, as well as for geological prospecting and exploration. ...

The civil construction industry is one of the fastest growing industries in Brazil economically, but it is one of the less grown in terms of application of technologies and innovations. There is a scarce number of studies related to the ...

3D object detection has been used in many fields, such as virtual reality, automatic driving and target tracking. 3D object detection methods usually use point clouds as input, but point clouds are disordered and rotationally invariant. To solve ...

A novel approach for robust Unmanned Aerial Vehicle (UAV) altitude estimation relying on laser measurements that is designed for use in complex indoor environments is proposed in this paper. Specifically, we aim to design a system with ...

• A robust UAV altitude estimation method for complex indoor environments.
• ...

Nowadays the use of virtual reality (VR) and gamification to develop applications with a high degree of interactivity and realism became natural. VR applications often require the use of data captured from the real world to compose the virtual ...

High-end Terrestrial Lidar Scanners are often equipped with RGB cameras that are used to colorize the point samples. Some of these scanners produce panoramic HDR images by encompassing the information of multiple pictures with different ...

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• Algorithm to minimize color differences among scans.
• Flow maps are used to quickly find correspondences between pairs of scans.
• We estimate the color reliability of the superpixels of each panorama.
• Gain factor solved to ...

Agencies such as National Oceanic and Atmospheric Administration (NOAA), Texas Natural Resources Information System (TNRIS), and the National Geographic Society, to name a few, collect Light Detection and Ranging (LIDAR) imagery data through small ...

Vehicle to Vehicle (V2V) communication allows vehicles to wirelessly exchange information on the surrounding environment and enables cooperative perception. It helps prevent accidents, increase the safety of the passengers, and improve the traffic ...

The performance of point cloud-based defect classification algorithms depends on the quality of the computed geometric features, which in turn is strongly affected by the selection of the neighborhood size of local 3D points. Many ...

In the analysis of terrestrial laser scanning (TLS) data the digital terrain model (DTM) is one of important elements. To evaluate the DTM or to find the DTM by way of optimization it is necessary to formulate the measure of DTM quality. Three ...

It is still challenging to accurately detect the small point cloud objects in the density-varying scenes, such as autonomous driving scenes where the measurements in nearby regions are much more than they in farther-away regions. Most previous ...

• A voxel-wise class-aware segmentation branch is designed for the center location learning.
• A cluster-based strategy is applied to sample all potential objects.
• The tasks of proposal regression and center learning are decoupling.

A deep reinforcement learning approach for solving the quadrotor path following and obstacle avoidance problem is proposed in this paper. The problem is solved with two agents: one for the path following task and another one for the obstacle ...

Solar energy is one of the most promising sustainable energy, and urban environments can be considered high-potential energy producers by producing electricity from rooftop-mounted photovoltaic systems. Electricity production from solar energy and the ...

The mapping of cropland helps to make decisions due to the intensification of its use, where the conditions of the crops change due to climatic variability and other socio-economic factors. In this way, the implementation of modern sustainable ...

Estimating the quality of standing trees or roundwood after felling is a crucial step in forest production trading. The on-going revolution in the forest sector resulting from the use of 3D sensors can also contribute to this step. Among them the ...

On 24^th August 2016 the first earthquake (Mw 6.2) of a long-lasting sequence struck Central Italy. The 24^th August mainshock was in the surroundings of Amatrice, Central Italy, where about 300 people died. Most of the buildings were damaged and ...