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Driver Assistance > Object Detection


Object detection system warns the driver of an object (front, side or back) that is in the path or adjacent to the path of the vehicle. Note: the most common application is parking aids for passenger vehicles.


During system testing, CV Pilot sites discover the importance of having expertise in detecting and mitigating interferences with radio frequency and GPS signals(12/13/2018)

Refine institutional arrangements when deploying connected vehicle technology to outline the expectations of partners in terms of service, outcomes and reporting.(12/13/2018)

Refine proper antenna placement on connected vehicles (particularly commercial vehicles) to reduce DSRC ‘shadow’ areas where DSRC signal is degraded.(12/13/2018)

Connected vehicle deployers are encouraged to utilize multi-vendor outsourcing and to source suppliers early to create a collaborative environment that enables as much parallel work as possible.(12/13/2018)

Connected vehicle deployers should assess field equipment and organizational capabilities that will be needed to support core CV components.(12/13/2018)

The project team of an Automated Shuttle Bus piloted in Minnesota learned that the bus required additional infrastructure at MnROAD and snow and ice removal for future operations.(06/27/2018)

Perform early real-world testing of connected vehicle technology with actual infrastructure in place to verify end-to-end system/application performance (10/02/2017)

Include transit drivers in the development and testing of new collision avoidance technologies to help gain driver acceptance of these technologies.(05/19/2017)

Integrate stop and caution warning signage into heads-up displays to help older drivers brake sooner for potential hazards.(10/14/2015)

Specify and implement high accuracy vehicle location and pedestrian detection technology for connected vehicle transit safety applications.(November 2014)

Design blind spot warning systems to minimize false alarms.(January 2014)

Ensure that ITS field operations tests use technologies and applications that are proven to be deployment ready.(26 September 2003)

Sixty-three (63) percent of city officials surveyed agreed that autonomous vehicles can improve the quality of life in U.S. cities.(05/24/2019)

Crash involvement rates in lane-change crashes of all severity types were 14 percent lower among vehicles equipped with blind spot monitoring compared to those without.(August 2017)

More than half of the respondents to a Texas-wide survey indicated $0 willingness-to-pay for self-driving technology (Level 3 or Level 4); however, comparatively fewer (only around 38 percent) indicated $0 willingness-to-pay to add connectivity.(March 2017)

Texas study estimates that CAVs could have a $27,000 net benefit per vehicle with a 90 percent market penetration.(March 2017)

Heads-up display showing stop and caution warning signs helped older drivers brake sooner in German driving simulator study.(10/14/2015)

Connected vehicles with automated braking assist technology can avoid 37 to 86 percent of crashes.(06/01/2015)

Performance of transit-specific connected vehicle safety applications in Safety Model Deployment show promise but would benefit from more precise location determination and pedestrian detection technology.(November 2014)

Rear-visibility systems are expected to prevent over one thousand backover injuries each year.(04/07/2014)

Large trucks with blind spot warning systems have approximately 50 percent fewer safety-critical events.(January 2014)

Connected vehicle warning systems and autonomous emergency braking can reduce fatalities by 57 percent.(02/01/2013)

Automated vehicles can save more than 1000 lives annually with 10 percent market penetration.(12-16 January 2013)

Automated vehicles (AVs) can reduce congestion and save $1,400 per year per AV with 10 percent market penetration.(12-16 January 2013)

Approximately 80 percent of drivers in a large-scale field operational test felt that blind spot information systems increased safety.(11/21/2012)

Light vehicles that automatically activate in-vehicle alerts, seat belt tensioners, and braking systems can reduce fatalities by 3.7 percent.(June 2011)

Simulation models show that collision warning systems with full auto-brake and pedestrian detection features can reduce pedestrian fatalities by 24 percent.(12/01/2010)

Forward collision warning systems have potential to prevent 23.8 percent of crashes involving large trucks.(2009)

A Side Object Detection System (SODS) for transit buses was cost-effective with a baseline benefit-cost ratio of 1.43 and a ratio range of 0.37-3.55.(August 2007)

In the central area of Chicago, a feasibility study indicated that driver assistance technologies and transit signal priority for bus rapid transit would be cost-effective.(August 2004)

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