An Evaluation of the Performance of the Bendix Wingman Fusion G1 Collision Mitigation System in a 2017 Kenworth T680

2024-01-2893

04/09/2024

Features
Event
WCX SAE World Congress Experience
Authors Abstract
Content
The Bendix Wingman Fusion – a radar and camera collision mitigation system (CMS) available on commercial vehicles – was evaluated in two separate test series to determine its performance in simulated rear collision scenarios. In the first series of tests, evaluations were conducted in daytime, nighttime, and rainy conditions between 15 to 58 miles per hour (mph) to evaluate the performance of the audible and visual forward collision warning (FCW) system in a first-generation Bendix Wingman Fusion CMS while approaching a stationary live vehicle target (SLVT) in a 2017 Kenworth T680. A second test series was conducted with a 2017 Kenworth T680 traveling at 50 mph in daytime conditions approaching a decelerating vehicle to evaluate the Bendix Wingman Fusion CMS on the truck. Both test series sought to determine the maximum distance the system would warn prior to the test driver swerving around the SLVT or moving vehicle target. The first test series utilized a 2014 Ford F150 as the SLVT and the second test series utilized a 2014 Lexus RX350 as a Decelerating Vehicle Target. Testing measured the time to collision (TTC) values of the issuance of the audible/visual FCW utilizing VBOX data acquisition equipment. The results of the two series of tests provide valuable information about the performance of the Bendix Wingman Fusion CMS approaching stationary and decelerating vehicles in rear collision scenarios.
Meta TagsDetails
DOI
https://doi.org/10.4271/2024-01-2893
Pages
24
Citation
Harrington, S., Martin, N., and Leiss, P., "An Evaluation of the Performance of the Bendix Wingman Fusion G1 Collision Mitigation System in a 2017 Kenworth T680," SAE Technical Paper 2024-01-2893, 2024, https://doi.org/10.4271/2024-01-2893.
Additional Details
Publisher
Published
Apr 09
Product Code
2024-01-2893
Content Type
Technical Paper
Language
English