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Convert healthy drone compass heading for pix4dmapper
Convert healthy drone compass heading for pix4dmapper














  • Reduced fuel consumption from extended traffic delays.
  • The time taken to document crash investigation evidence has been reduced from 2-3 hours to only 15-20 minutes. Pix4D: Do you think using drones and Pix4D for public safety is good for society?ĭrone mapping has helped reduce the time to document crash investigation evidenceĪerial Metrics: Most definitely. Once the flights are concluded, the evidence and vehicles can be removed, and the roadway opened for traffic Includes a pass down both the left and right-hand sides of the scene.įlight 3 - Drone is flown yet 50% lower again if there is a need to identify specific evidence.ĥ. This workflow reduces total flight time while still ensuring very high-resolution models for capturing even small evidence details such as shell casings.įlight 1 - Drone passes down the middle of the scene to capture its entire width with 75% frontal overlap.įlight 2 - Drone is flown lower, at 2/3rds of the height of the first flight. The flight heights are selected to ensure that the three layers will calibrate together. The easiest way to think about it is that the middle run is primary, the higher run is insurance in case of inadequate overlap, and the lowest run improves resolution/GSD for the most critical evidence.Īll images are processed in the same project. The third (lowest) covers only the area of key evidence and may also include obliques of vehicles. The first and second layers cover the same area. The pilots are trained to determine the appropriate heights and photographic overlap distances for each layer. Three flights are conducted over the scene or subsets at progressively lower heights. Before we start with mapping flights, we do a quick pre-flight check to ensure hardware/software function and regulatory compliance.Ĥ. These are used later to verify the accuracy of the photogrammetric model.ģ. We use two or more scale reference measurements taken between easily identifiable points at least 50 feet apart. Once the scene is safe, evidence on the roadway and surrounding areas is identified and marked with spray paint, evidence tents, or versa-cones.Ģ. This workflow has been developed and optimized by Aerial Metrics after years in the field to fit collision reconstruction scenarios, account for real-world obstacles like trees, and ensure more than enough data has been captured before scene cleanup.ġ. Pix4D: Tell us a bit more about your workflow in the field and what it consists of.Īerial Metrics: Our workflow in the field is very consistent from scene to scene. So together with the Lake County Major Crash Assistance Team (MCAT) we developed a system that employs sUAS and photogrammetry to reduce road closure times, improve officer safety, and capture better evidence at crash scenes. Pix4D: Thanks so much for chatting with us! Let’s start with a few words about your company.Īerial Metrics: We wanted to explore the potential for the use of small unmanned aerial systems (sUAS) to improve the process of crash investigation.
  • Challenges of starting a public safety programĪerial Metrics co-founders Iain Lopata and Stan Taylor sat down with Pix4D’s Caroline Bailey and Angad Singh to discuss their work and tools for crash investigation and other public safety projects.
  • #Convert healthy drone compass heading for pix4dmapper software#

  • The most suitable software for public safety.
  • Significant benefits of this technology.
  • Using drones and Pix4D for public safety.
  • This evidence allowed charges to be filed against the driver, which would not have been possible without this technology. From the model, the Aerial Metrics team was able to measure the length and curvature of the yaw mark and determine a range of possible speeds for the vehicle - in excess of 60 mph. Nearly a year later, Pix4D’s premium reseller Aerial Metrics were asked to fly an sUAS mission at the scene and combine the photos taken from the drone with the original DSLR photography and build a model with Pix4Dmapper. At the time, there was insufficient evidence to determine the speed of the vehicle. The responding officer took 61 photos with a Nikon DSLR, including 18 that captured the yaw mark left by the tires on the roadway. In the small hours of a January morning, a speeding vehicle veered off a major road and struck a streetlight, killing the passenger. Aerial Metrics sat down with Pix4D to discuss how they are using drones and aerial mapping for crash reconstruction and investigation.














    Convert healthy drone compass heading for pix4dmapper