4/12/2023 0 Comments Quad copter flight simulator![]() ![]() With rapid advances in microelectronics, radio communication, miniaturized imaging lenses and positioning modules, small unmanned aircraft systems (sUASs) have pioneered a series of TIM applications, such as traffic monitoring, flow analysis, crash detection and response, and situational awareness. However, the costs of TLS equipment are usually high, and multiple scan locations may be needed to minimize scan occlusions in scenes where terrain and crash are complex. Enormous scene details can be scanned and captured in a relatively short period of time. Over the past two decades, the potential of terrestrial laser scanning (TLS) has been validated in various crash scene scenarios. Close-range photogrammetry, which emerged around the same time in accident investigation, is able to recover accurate two-dimensional (2D) and three-dimensional (3D) measurements and diagrams by taking overlapping photographs from different viewpoints around crash scenes. The ability to collect digital data off the roadway eases investigators’ exposure risk to traffic and reduces entire surveying time. In order to automate accurate documentation of distance and angle measurements, total stations have started to play a key role at crash scenes since the early 1990s. While relatively low cost, these methods have limited efficiency to document measurements and pose safety risks to investigators due to possible exposure to traffic. They use mechanical measurement tools such as tape measures and roller wheels to acquire baseline measurements and delineate crash scene diagrams. Traditional coordinate and triangulation methods have long been adopted by investigators at a crash scene. Crash scene investigation and reconstruction are considered crucial being part of the major concerns in traffic incident management (TIM). Major lessons learned for real-world quadcopter sUAS flight design in windy conditions for crash scene mapping are also documented.Ī motor vehicle crash can cause considerable economic loss, serious bodily injuries and loss of human life. Simulation results suggest operating the simulated quadcopter type when wind speed is less than 11 m/s under light to moderate turbulence levels for optimal flight performance in crash scene reconstruction missions, measured in terms of positional accuracy, required flight time, and battery use. Both statistical and visual analytics are performed. Average 3D error, standard deviation, battery use, and flight time are used as statistical metrics to characterize the wind impacts on flight stability and endurance. Incremental increases in wind speed, direction, and turbulence are conducted. This simulation uses typical flight capabilities of quadcopter sUAS platforms that have been increasingly used for traffic incident management. To bridge this gap, commercial and open source sUAS flight simulation software is employed in this study to analyze the impacts of wind speed, direction, and turbulence on the ability of sUAS to track the pre-planned path and endurance of the flight mission. ![]() Wind is a typical environmental factor that can cause adverse weather, and sUAS responses to various wind conditions have been understudied in the past. However, auto crashes tend to occur under adverse weather conditions that usually pose increased risks of sUAS operation in the sky. Small unmanned aircraft systems (sUASs) have emerged as promising platforms for the purpose of crash scene reconstruction through structure-from-motion (SfM) photogrammetry. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |