Data Driven with Lou Peck
by Lou Peck
Hosted by Lou Peck, Data Driven interviews industry experts about the current and future states of collision reconstruction.
Podcast episodes
Season 1
Jeff Suway: quantifying luminance with a camera, video analysis, & his love of retroreflective tape
Lou sits down with Jeff Suway of JS Forensics to discuss how he got into recon, the current state of his firm, Jeff's real love: retroreflective tape, quantifying luminance with a camera, video analysis, and much more. The podcast is available to watch here. -- Connect with Jeff JS Forensics Nitere -- Timeline of Topics 00:00:00 – Jeff’s background and introduction to forensics 00:20:16 – JS Forensics: Jeff’s vision for the company and his current team 00:31:45 - Jeff’s fascination with retroreflective tape 00:44:35 – Quantifying luminance with a consumer grade camera 00:59:00 – Presenting in the courtroom 01:02:26 – How to take contrast measurements 01:19:53 – Nitere applications 01:28:11 – Necessities for a recon trying to do nighttime analysis 01:39:57 – Methods and tools Jeff’s experimenting with 01:43:06 – How Jeff stays in touch with the latest tech in the industry 01:47:11 – Rapid fire: What Jeff uses point clouds for, best investment under 5k, and most used papers -- Papers Discussed (in order of appearance)Suway, J., Suway, S., “A Method for digital Video Camera Calibration for Luminance Estimation” Society of Automotive Engineers (SAE) World Congress and Exhibition, 2017, SAE Paper No. 2017-01-1368 Suway, J., Suway, S., "A More Robust Method for Digital Video Camera Calibration for Luminance Estimation" SAE Technical Paper 2022-01-0802, 2022 Muttart, J., "Factors that Influence Drivers' Response Choice Decisions in Video Recorded Crashes," SAE Technical Paper 2005-01-0426, 2005, https://doi.org/10.4271/2005-01-0426. Cipriani, A., Bayan, F., Woodhouse, M., Cornetto, A. et al., "Low Speed Collinear Impact Severity: A Comparison Between Full Scale Testing and Analytical Prediction Tools with Restitution Analysis," SAE Technical Paper 2002-01-0540, 2002, https://doi.org/10.4271/2002-01-0540. Suway, J., Welcher, J., “A Quantitative Method for Accurately Depicting still photographs or video of a night-time scene Utilizing Equivalent Contrast” Society of Automotive Engineers (SAE) World Congress and Exhibition, 2016, SAE Paper No. 2016-01-1463.
Jeff Muttart: driver response, autonomous vehicles, training novices, and the evolution of recon.
Lou sits down with Jeff Muttart to discuss driver response, autonomous vehicles, training novices, and the evolution of recon. The podcast is available to watch with video here. -- Connect with Jeff Driver Research Institute Response Education Drivers’ Response in Emergency Situations Book Published Papers Swaroop Dinakar -- Timeline of Topics 00:01:22 The origin of a data junkie 00:13:02 The 16-year-old driver 00:23:52 Moving from the police department to academia 00:31:36 Jeff’s first success 00:40:07 The PRT of automated vehicles 00:52:14 Why are ped fatalities on the rise even with the increase in ADAS-equipped vehicles? 01:04:42 Analyzing the SHRP-2 data 01:17:53 Where are humans most vulnerable? 01:29:27 Access to video 01:39:39 Age as a factor 01:54:30 Jeff’s current toolkit 02:12:55 Autonomous vehicles 02:28:33 Predictions for the future 02:36:27 Motorcyclist PRT research 02:44:58 Applying the literature 02:53:22 What tool will be gone in 5-10 years? 02:57:02 Driver Research Institute and the future -- Studies, Literature, and Tools Discussed 100 Motorcyclists Study Development and Evaluation of Driver Response Time Predictors Based upon Meta Analysis Human Performance Lab at UMass Amherst (HPL) Konica Minolta Luminance Meter Part 563 Risk and Perception Training (RAPT) Strategic Highway Research Program (SHRP) SHRP-2 Sony Alpha 7S II SWOV
Tim Cheek and Matt DiSogra: heavy vehicle data and its proliferation, the modern HVEDR toolkit, and the future of the field.
Tim Cheek and Matt DiSogra: heavy vehicle data and its proliferation, the modern HVEDR toolkit, and the future of the field.
Lou sits down with Tim Cheek and Matt DiSogra to discuss heavy vehicle data and its proliferation, the modern HVEDR toolkit, and the future of the field. The podcast is available to watch with video here. -- DELTA |v| Forensic Engineering Tim Cheek Matt DiSogra SAE Course - Accessing and Interpreting Heavy Vehicle Event Data Recorders HVEDR.com -- Timeline of Topics 00:01:23 Tim and Matt’s backgrounds 00:05:45 Definition of HVEDR 00:12:42 What sources of data are available on a heavy vehicle and how do you access them? 00:30:21 Preparing for a heavy vehicle inspection and triaging once you’re there 00:39:55 How do you keep up with it all? 00:43:44 Last stop data 00:49:45 Fault code setting event and the associated data 00:57:43 Autonomy in heavy trucking 01:06:59 What tools are needed to access Bendix data? 01:13:05 Sharing knowledge in a changing environment 01:16:58 WABCO Systems 01:19:57 Increase in data sources 01:24:53 Accessing trailer data 01:27:25 Modern toolkit for a heavy truck inspection 01:40:08 Will event data recorders ever replace recons? 01:48:31 How to drink out of the fire hose without getting your face blown off -- Systems, Tools, and Companies Discussed Bendix Bosch CDR Cummins Dearborn Group Detroit Assurance Mack Volvo Mecanica Scientific NEXIQ Omnitracs Part 563 Safety Direct WABCO Waymo Wingman Fusion System
Anthony Cornetto: the state of computer simulation, acquiring HVE, building a Blender-based super tool, and the integration of AI.
Anthony Cornetto: the state of computer simulation, acquiring HVE, building a Blender-based super tool, and the integration of AI.
Lou sits down with Anthony Cornetto to discuss the state of computer simulation, acquiring HVE, building a Blender-based super tool, and the integration of AI. The podcast is available to watch with video here. A rough transcript of the podcast can be found here. -- Connect with Tony Momenta HVE -- Timeline of Topics 00:01:23 Tony’s background 00:09:14 The purchase and expansion of HVE 00:34:48 Blender and its application in collision reconstruction 00:54:01 Creating 3D models 00:58:41 The future of Blender and HVE - from simulation to beautiful visualization 01:04:21 What’s in Tony’s current toolkit? 01:13:15 Best tool under $5,000 01:17:02 360 cameras 01:23:24 Resources for continued education 01:27:23 What does the future of HVE look like? 01:37:229 Low-Poly modeling 01:43:04 All-in-one super tool? 01:55:57 How will AI integrate into recon? 02:09:19 Most used tool in Tony’s current arsenal 02:10:58 What’s inside the future toolkit of a reconstructionist, and what isn’t? -- Software / Tools Discussed 3DF Zephyr 3ds Max Blender CarSim CloudCompare Cycles Render DyMESH EDCRASH EDSMAC4 Garmin VIRB Ultra 360 Leica BLK360 Lightpoint Low-Poly Meshes OpenDroneMap SIMON Unreal Engine A full list can be found here.
Alan Moore: autonomous vehicles, ADAS, the battle between safety and distraction, getting to level 4, and advice on learning.
Alan Moore: autonomous vehicles, ADAS, the battle between safety and distraction, getting to level 4, and advice on learning.
Lou sits down with Alan Moore to discuss autonomous vehicles, ADAS, the battle between safety and distraction, getting to level 4, and advice on learning. The podcast is available to watch with video here. A rough transcript of the podcast can be found here. -- AB Moore Consulting Alan’s SAE Course -- Timeline of Topics 00:01:23 Alan’s background 00:03:26 What is ADAS and how much should reconstructionists know about it right now? 00:12:25 The omnipresence of electronic data00:12:26 Levels of autonomy 00:18:06 Do we need LiDAR for Level 3?00:28:29 Facilitating autonomous driving with V2X communication 00:38:00 Fleet corroboration 00:41:14 Autonomous systems and distracted humans 00:50:06 Diving down the “ADAS knowledge” rabbit hole 00:55:32 ADAS intervention and the event data recorder 01:02:19 Testing ADAS for research, classes, and cases 01:21:07 Will autonomous vehicles kill recon? 01:29:32 How to keep up with changes and developments in our field -- Systems / Companies Discussed Axon Bendix Bosch CDR Comma.ai Detroit Assurance DRSC GM Super Cruise Mercedes Drive Pilot Part 563 Tesla Autopilot WABCO Waymo