http://kineticorp.com Forensic Engineering and Visualization Fri, 10 Nov 2017 19:39:03 +0000 en-US hourly 1 https://wordpress.org/?v=4.8.3 http://kineticorp.com/wp-content/uploads/2016/06/cropped-favicon-32x32.jpg http://kineticorp.com 32 32 Lean Angle Case Study http://kineticorp.com/lean-angle-case-study/ Tue, 31 Oct 2017 21:22:00 +0000 http://kineticorp.com/?p=6685 Nathan Rose, Neal Carter and William Neale took a trip to California to conduct research for a case where the lean angle of a motorcycle needed to be determined. Take a look at some of the work that they did to determine key aspects to this accident.

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Nathan Rose, Neal Carter and William Neale took a trip to California to conduct research for a case where the lean angle of a motorcycle needed to be determined. Take a look at some of the work that they did to determine key aspects to this accident.

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Heavy Truck v Motorcycle Case Study http://kineticorp.com/heavy-truck-v-motorcycle-case-study/ Mon, 30 Oct 2017 16:37:18 +0000 http://kineticorp.com/?p=6673 Nathan Rose, Neal Carter and Tomas Owens talk about a case study where a heavy truck struck a motorcyclist and the process of gathering evidence, producing animations and analyzing data to help jurors understand what happened in a clear and accurate way. Video Transcription [Nathan]: I approached this case the… read more →

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Nathan Rose, Neal Carter and Tomas Owens talk about a case study where a heavy truck struck a motorcyclist and the process of gathering evidence, producing animations and analyzing data to help jurors understand what happened in a clear and accurate way.

Video Transcription

[Nathan]: I approached this case the same way I approach every case. It always begins with gathering the evidence and that could be physical evidence, could be electronic evidence, could be video evidence, could be testimony and statements. And so, I’m always looking to gather that evidence.

This is a crash that occurred on an interstate highway and it involved a tractor-trailer impacting a motorcyclist on the highway. And essentially what had happened is the tractor-trailer driver came upon a slow moving vehicle that had had a tire disablement. So, the vehicle was limping along in the right lane traveling about 15 miles per hour according to testimony. That truck driver had about a 2,000 foot straightaway, but he didn’t react to that slow moving vehicle until very late and ended up swerving to the left across the center lane and into the left lane where the truck struck a motorcyclist. In this case, the police did do some investigation. They had a basic diagram that outlined the sequence of events. They had some photographs they took that showed tire marks, showed fluid on the road, showed the rest position of the tractor-trailer and the motorcycle. And so, that was the first step; was beginning to gather that.

In this case, questions that I needed to answer were the speed of the tractor-trailer throughout the sequence, the speed of the motorcycle, and then the motion of the tractor-trailer as it traversed from the right lane, across the center lane, and into the left lane and struck the motorcyclist. Then, how did those vehicles move following the collision. Then, also, inherent in that data from the event data recorder was, how did the driver of the tractor-trailer respond to the slow moving vehicle that he was attempting to avoid? When did he brake? And when did he swerve? Most tractor-trailers these days have event data recorders on them. Typically, those are integral to the engine control module and they will record data related to sudden deceleration or hard brake events that those trucks experience. The vehicle experiences a change in speed of, say, for example, in this case it was seven miles per hour in a one second time interval, that’s sufficient to cause the system to record that data. And typically, what will be recorded will be the speed of the vehicle, at least the indicated speed, what it would read on the speedometer. It will be whether the brakes are applied or not. Engine RPM is another thing that often is recorded. Things of that nature. We can take that data and utilize it in our Reconstruction.

PC-Crash is where I’m bringing all that together. I’m bringing together the electronic data with the physical evidence, generating physics-based motion that is in agreement with that electronic data, and in agreement with the physical evidence.

[Neal]: In PC-Crash we have a diagram that shows the rest positions of the vehicles; it shows the physical evidence like the tire marks, scrape marks of the vehicles, and we’re able to simulate that motion of the vehicles coming to rest. So, in here you can see the — once I scrub through you can see the tractor-trailer, the vehicle that he was avoiding, as well as the motorcycle. After we simulated the motion in PC-Crash we then brought it to an animation package called 3D Studio Max. And we used that to make our final animation.

[Tomas]: So, in cases like this in particular, which is going to be a melding of both physical evidence locations as well as a little bit of interpretation as to what the person or character is actually doing in this case, it’s very important for us to work directly with the engineers to get that evidence from PC-Crash. That gives me kind of a point-A and a point-B. I know where a character needs to be physically as well as his relationship to those vehicles. And so, that told me that his body has to be positioned in such a way that he can leave this physical evidence and have it match with all the physical evidence from the vehicles that have already been determined partially by engineers, partially by photogrammetry and analysis of the information that we have. So, at this point I have positions over time, I know where my vehicles need to be to match the entire scene. I can take this information bring it into a 3D software like 3DS Max. And so, that gives me all of the information and positions represented in PC-Crash that I can then use for my analysis for where the character needs to be.

[Nathan]: Based on my analysis, what I found was that the truck driver in this crash could’ve avoided the crash had he begun reacting about a second-and-a-half sooner. He could’ve simply changed lanes into the center lane, which was open, not gone into the left lane and not struck he motorcyclist. Another key finding was that the crash was not avoidable by the motorcyclist. The time available for him to perceive what was going on and take action to avoid it, there simply wasn’t enough time and so it was not avoidable to the motorcyclist. So, when I get to the end of it, I’ve got reconstructed motion in PC-Crash of these vehicles, that’s justified based on physics, based on physical evidence, based on electronic data, and all of the techniques that I’m utilizing have been published, they’re widely used in the industry, they’re peer-reviewed; I can use this reconstruction data then to go on and produce an animation. And that animation is going to be admitted in trial because I can lay out the foundation for each step of the process based on that peer-reviewed literature and based on that research and testing, and based on principles of physics. So in this specific case, this allowed me to go in, testify in a deposition and explain this accident in a very clear way to both sides.

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KFSRT EP11 – The Cost of Funding Your Own Cases http://kineticorp.com/kfsrt-ep11-cost-funding-cases/ Tue, 17 Oct 2017 16:53:38 +0000 http://kineticorp.com/?p=6577 Do you really know what it costs you when funding your own cases? There are options when it comes to funding your cases that can save you substantial money over time . You may need to hire experts, develop visuals etc. In this episode of Kineictorp’s Forensic Science Roundtable, Justin… read more →

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Do you really know what it costs you when funding your own cases? There are options when it comes to funding your cases that can save you substantial money over time . You may need to hire experts, develop visuals etc. In this episode of Kineictorp’s Forensic Science Roundtable, Justin Holderness speaks with Mike Swanson, President of Advocate Capital a financing solution for law firms. Visit www.advocatecapital.com to learn more.

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KFSRT EP10 – 3D Laser Scanning Opens Up Roadways http://kineticorp.com/kfsrt-ep10-3d-laser-scanning-opens-roadways/ Mon, 16 Oct 2017 19:07:08 +0000 http://kineticorp.com/?p=6571 Technology is advancing at unprecedented rates and 3D laser scanning is no exception. In this episode, Justin Holderness interviews Shannon Trammell of Riegl USA to talk about their new product and what effect it is having on traffic and secondary accidents.

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Technology is advancing at unprecedented rates and 3D laser scanning is no exception. In this episode, Justin Holderness interviews Shannon Trammell of Riegl USA to talk about their new product and what effect it is having on traffic and secondary accidents.

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KFSRT EP9 – Dr. Peter Weinberg Discusses Today’s Trial Landscape http://kineticorp.com/dr-peter-weinberg-trial-consultant/ Wed, 30 Aug 2017 16:50:42 +0000 http://kineticorp.com/?p=6266 Dr. Peter Weinberg has spent the past 20 + years studying the details of psychology. He has spent the last 10+ years as a Trial Consultant and has worked with some of the top tier trial attorneys and expert witnesses throughout the US. Kineticorp’s Justin Holderness discusses his experience working… read more →

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Dr. Peter Weinberg has spent the past 20 + years studying the details of psychology. He has spent the last 10+ years as a Trial Consultant and has worked with some of the top tier trial attorneys and expert witnesses throughout the US. Kineticorp’s Justin Holderness discusses his experience working in today’s litigation landscape.

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KFSRT EP8 – Nathan Rose Discusses Video Analysis http://kineticorp.com/kfsrt-ep8-nathan-rose-discusses-video-analysis/ Tue, 22 Aug 2017 15:40:47 +0000 http://kineticorp.com/?p=6256 In a world of cell phones, google glasses, dash cams and traffic cams, we have access to detailed information. This information allows forensic engineers and attorneys to better understand their cases. Justin Holderness and Nathan Rose discuss video analysis and how it is now can be applied to accident cases… read more →

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In a world of cell phones, google glasses, dash cams and traffic cams, we have access to detailed information. This information allows forensic engineers and attorneys to better understand their cases. Justin Holderness and Nathan Rose discuss video analysis and how it is now can be applied to accident cases in order to create credible and admissible reconstructions.

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KFSRT EP7 – Toby Terpstra Discusses Lens Distortion http://kineticorp.com/kfsrt-ep7-toby-terpstra-discusses-lens-distortion/ Tue, 22 Aug 2017 15:39:46 +0000 http://kineticorp.com/?p=6254 In this episode of Kineticorp’s Forensic Science Round Table, Justin Holderness sits down with Senior Forensic Animator Toby Terpstra to discuss lens distortion, how it can affect the physics of a case and the research he has conducted regarding lens distortion. If you would like to learn more, email Toby… read more →

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In this episode of Kineticorp’s Forensic Science Round Table, Justin Holderness sits down with Senior Forensic Animator Toby Terpstra to discuss lens distortion, how it can affect the physics of a case and the research he has conducted regarding lens distortion. If you would like to learn more, email Toby at tterpstra@kineticorp.com.

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KFSRT EP6 – Nathan Roses Motorcycle Accident Reconstruction Book http://kineticorp.com/kfsrt-ep6-nathan-roses-motorcycle-accident-reconstruction-book/ Tue, 22 Aug 2017 15:38:28 +0000 http://kineticorp.com/?p=6252 Kineticorp’s Justin Holderness, and Nathan Rose discuss Nathan’s book on motorcycle accident reconstruction.

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Kineticorp’s Justin Holderness, and Nathan Rose discuss Nathan’s book on motorcycle accident reconstruction.

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Pixel Tracking Analysis http://kineticorp.com/pixel-tracking-analysis/ Wed, 09 Aug 2017 22:08:54 +0000 http://kineticorp.com/?p=6128 Senior Forensic Animator, David Hessel discusses pixel tracking techniques used to determine velocities of moving objects within a video. Video Transcription I wanted to try and find a quick, but accurate way of getting speeds of vehicles. Pixel tracking is a technique where you track a pattern of pixels across… read more →

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Senior Forensic Animator, David Hessel discusses pixel tracking techniques used to determine velocities of moving objects within a video.

Video Transcription

I wanted to try and find a quick, but accurate way of getting speeds of vehicles.

Pixel tracking is a technique where you track a pattern of pixels across an image. So, the software allows you to find a window, which chooses your pattern. It could be something like a taillight, a logo, a license plate that the software can just lock onto. Once it gets that pattern it tries to find that same pattern in consequent frames and once it does it track that feature throughout that sequence. I can use this tracking software to just track headlights and license plates, or emblems on vehicles and since I already know the camera motion from having tracked it before I can use that information along with some information about the vehicle to determine location of that tracking point in 3D space over time, which would give me speed.

When you have the camera and you have the pixel tracking it gives you this vector that just keeps going out forever in space. You have to have some way of stopping it. So, I figure out where exactly it is. You know it’s along that line. but figuring out where it is on that line you need one other piece of information. So, the thing that I write about in this paper and the thing that I did in that particular example was look for the height off the ground. If the headlight is supposed to be two feet off the ground you find the point where it’s two feet off the ground, stop it, solve that point, and that’s where that point is in 3D space and time. Do that for multiple frames and you’ve got your speeds.

We actually had a train derailment we did in Montana. We wanted to recreate it, so William actually went out there and derailed a train just like how it happened in the accident. And basically, what we did was we set up two high speed cameras so I could triangulate points. So, we had those set up and I tracked points all about the train. I think it was, like 12 of them, in both cameras, using the same technique. And I got 3D points from for all of those and then using those 3D points I was able to see how they all moved together and solve for a single transform from it, which gave me position and rotation and from that I was able to recreate the exact motion of the train. You can see the actual footage and you can see the reconstructed footage that I did using that technique and they’re identical.

Mainly, the software we use for tracking is PF Track. That’s what’s used for tracking the video and the 2D tracking as well. I have also used After Effects for that. This particular software we also use does also have the ability to load the LiDAR data, and you can take your tracking points and assign it a point in that LiDAR data. You can tell it, “this point is actually this scan point.” And you can do it for multiple points.

There’s nothing in existence that actually takes that 2D data and transforms it into a 3D coordinate like we do here. That was all custom written stuff. So, that’s all scripts we’ve developed.

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Lens Distortion Correction http://kineticorp.com/lens-distortion-correction/ Mon, 31 Jul 2017 20:31:51 +0000 http://kineticorp.com/?p=6056 Read Kineticorp‘s SAE research papers about lens distortion: 2017-01-1422   2011-01-0286 Video Transcription (Toby Terpstra) Whenever we’re talking about photogrammetry, accuracy is always a consideration for us, regardless of the project. We want to know that the solutions—the photogrammetric solutions are accurate such that we can take measurements out of those… read more →

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Read Kineticorp‘s SAE research papers about lens distortion:

Video Transcription

(Toby Terpstra) Whenever we’re talking about photogrammetry, accuracy is always a consideration for us, regardless of the project. We want to know that the solutions—the photogrammetric solutions are accurate such that we can take measurements out of those solutions and know that those measurements are accurate. With lens distortion being present in a photograph, the camera matching photogrammetry or other kinds of photogrammetry can often be difficult or really impossible to get good solutions out of. So, it’s important to always remove those distortions whenever possible.

At Kineticorp, our first step is to look at the EXIF data on the photograph. Now, the EXIF data is the meta-data contained within the image file itself. So, within that image there’s header information or meta-data where you can see what camera was used, what the settings were within that camera, the field of view, that kind of thing.

(Sean Miller) Most of the lens distortion removal that we do is using software that already has the profiles for lens distortion that’s caused by the curvature of the lens. And there’s a big, long equation that you can calculate out the actual distortion and use that to remove it and there’s programs that can do that automatically.

(Toby Terpstra) If you’re stuck with an image that doesn’t have EXIF data, which happens to us all the time, we get images that are provided that have been saved out as a PDF, which strips out typically all of the EXIF data and then you don’t have the information about the camera. When you’re stuck with those kinds of images and you’re trying to perform photogrammetry on those, it can be really problematic if not possible.

We get photographs that we knew had lens distortion in them, visible lens distortion, but we had no EXIF data or no great methodology for being able to remove that distortion. So, out of the results of that frustration we began studying ways to remove that distortion without the EXIF data. The first one is what we refer to as the straight-line method, where we look at the photograph and determine, “are there any lines within this photograph that should be straight.” Edges of buildings, telephone poles, streetlights.

The second method is the point cloud method. We use a scanner–a 3D scanner like a FARO scanner or a Leica scanner, anything would work, to document the scene and really encompass it with a point cloud of data. That data is accurate, when thinking of a FARO scanner right now, plus-or-minus two millimeters. So, you have an accurate representation of that 3D environment that you can then take and compare specific points in the photograph to or against and know that, “look, here’s the true world measurements, here’s the measurements in the photograph, which is not accurate,” and then in comparing those you’re able to remove the distortion based on that. You should consider lens distortion. It’s not that it’s going to effect every camera match or every photogrammetry solution, but if you’re not considering it, you can potentially achieve that much error in your solutions or have that much error in your solutions and that can be problematic.

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