The present application claims the benefits of and priority, under 35 U.S.C. § 119(e), to U.S. Provisional Application Ser. No. 62/424,976, filed on Nov. 21, 2016, entitled “Next Generation Vehicle,” the entire disclosure of which is hereby incorporated by reference, in its entire...
In step 24, capital appropriations and budgets are obtained, including estimating capital expenses and defining benefits to making the investment. The capital appropriation request is completed and process is initiated to gain approval and funding. Budgets are established based on vehicle system scope an...
The experimental results have proven the superior performance of the proposed low-altitude UAV system rather than current studies for detecting and estimating the vehicles’ speeds in highly dynamic situations and different speeds. As the results showed, our solution is highly effective on crowded ...
The currently used sensors in the AD area hint at the existing benefits of using a multi-modality approach. Data collection for the creation of datasets is an example of an application that greatly benefits from sensor fusion. However, as one starts adding sensor modalities and the number of ...
Crown volume is an important tree factor used in forest surveys as a prerequisite for estimating biomass and carbon stocks. This study developed a method for accurately calculating the crown volume of individual trees from vehicle-borne laser scanning (VLS) data using a concave hull by slices meth...
Traditional methods for assessing the stability of rubble mound breakwaters (RMBs) often rely on 2.5D data, which may fall short in capturing intricate changes in the armor units, such as tilting and lateral shifts. Achieving a detailed analysis of RMB g
This leads to estimating the whole energy demand of the production process without proper vehicle modelisation. Conversely, the estimation of energy consumed during the whole life-cycle of the vehicle is performed based on a wide dataset regarding the average values of energy consumption and according...
An Intel(R) Xeon®E5-2678V3 CPU with 64 GB of RAM, an NVIDIA GeForce RTX2080Ti graphics card, and Python 3.9 and Pytorch 1.13 deep learning framework serve as the hardware and software platforms for the training. The training settings for the DQN system and the simulation parameters for ...
Through this survey, we provide preliminary insights into how PA benefits from UAV RS together with edge intelligence. In recent years, the small and light, fixed-wing or industrial rotor-wing UAV systems have been widely adopted in PA. Due to the advantages of easy-to-use, high flexibility...