White Paper

NCTR Camera Vision System Study

Study that compared Velvac camera-based vision systems (65° FOV) with mirrors alone, and concluded that the majority of drivers agreed that cameras can eliminate blind zones, and that 100° FOV cameras provided too much info to drivers; 65° provided just the right amount. It noted that Velvac camera-based vision systems are the only solutions in the market that meet the requirements chosen.

NHTSA Camera Study - July 2008

NHTSA study to determine the potential for using cameras in place of mirrors. It was concluded that heavy vehicles could take greater advantage of cameras to reduce blind spots, to add views that are difficult for the driver to obtain, or to replace existing mirrors. It also provided recommended camera and monitor product specifications for usage on heavy truck applications.

CUTR Evaluation of Camera-Based Systems to Reduce Transit Bus Side Collisions

A recent research study conducted by the Center for Urban Transportation and Research (CUTR), which evaluated the effectiveness of mirror-based, sensor-based and camera-based systems for side collision avoidance. They concluded that camera-based vision systems, similar to the ones offered by Velvac, can not only eliminate blind spots, but also significantly improve visibility in all inclement weather conditions, allowing the driver to perceive distances and distinguish objects correctly.

NHTSA Large Truck Crash Causation Study

This study, released in August of 2006, was the first national study that determined the reasons and associated factors contributing to serious large-truck crashes. It examined 1,070 crashes from 4/1/01 to 12/31/03 involving 2,284 vehicles. This sample represented 241,000 vehicles involved in 120,000 crashes. For each incident, information was collected for approximately 1,000 variables, and detailed descriptions of the crash environments and key factors that led to each crash were also recorded. This study concluded that 33% of large truck crashes were due to "another motor vehicle being in the lane", and that 31% were as a result of driver recognition or decision making. Understanding the causes of these crashes has helped Velvac develop camera-based vision systems that provide drivers with an intuitive driving experience that improves driver field of view, eliminates blind spots and results in a safer driving experience.