Nothing Special   »   [go: up one dir, main page]

Schatz et al., 2017 - Google Patents

Evaluation of Future Advanced Driver Assistance Systems Using Property Damage Insurance Claims

Schatz et al., 2017

View PDF
Document ID
8541940518603932837
Author
Schatz J
Feig P
Lienkamp M
Gwehenberger J
Borrack M
Behling R
Publication year
Publication venue
25th International Technical Conference on the Enhanced Safety of Vehicles (ESV) National Highway Traffic Safety Administration

External Links

Snippet

Real world traffic accident databases allow an accurate determination of the effectiveness of Advanced Driver Assistance Systems (ADAS). Research shows that accidents with property damage have been increasing while accidents with bodily injury have fortunately decreased …
Continue reading at www-nrd.nhtsa.dot.gov (PDF) (other versions)

Classifications

    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/08Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0841Registering performance data

Similar Documents

Publication Publication Date Title
Harper et al. Cost and benefit estimates of partially-automated vehicle collision avoidance technologies
Bhise Automotive product development: A systems engineering implementation
JP7576361B2 (en) Vehicle accident loss assessment method and device
US20180121888A1 (en) System and method for improved vehicle collision damage estimating and repair
Jacobsen Fuel economy, car class mix, and safety
Isaksson-Hellman et al. Evaluation of rear-end collision avoidance technologies based on real world crash data
WO2023205220A1 (en) Remote vehicle inspection
Schatz et al. Evaluation of Future Advanced Driver Assistance Systems Using Property Damage Insurance Claims
Hammond Sudden Unintended Used‐Price Deceleration? The 2009–2010 Toyota Recalls
Gschwendtner et al. Prospective analysis-method for estimating the effect of advanced driver assistance systems on property damage
Repin et al. Method of forming a fleet of transport and technological machines for road construction
Feig et al. Prospective and monetary effectiveness assessment method for advanced driver assistance systems-usage of naturalistic driving studies and experimental system tests
Newstead et al. Vehicle Safety Ratings Estimated from Police Reported Crash Data: 2015 Update: Australian and New Zealand Crashes During 1987-2013
Baron et al. Assessing the fleet-wide material technology and costs to lightweight vehicles
Barrios et al. Evaluation of the effectiveness of pedestrian protection systems through in-depth accident investigation, reconstruction and simulation
Wei et al. Singapore road vehicle fleet evolution
Gwehenberger et al. Driver assistance systems and automated driving functions–impact potentials, challenges and solutions from the point of view of the AZT
Aleksandrowicz et al. Optimising post-collision repair costs with the use of the audanet system with 3d intelligent graphics
Fraas et al. The energy paradox in seemingly competitive industries: The use of energy-efficient equipment on heavy-duty tractor trailers
Schindler A Holistic Safety Benefit Assessment Framework for Heavy Goods Vehicles
Schatz et al. Method to Derive Monetarily Effective Parameters for ADAS at Parking and Maneuvering
Rak et al. Forensic and manufacturer aspects of VIN production and location on motor vehicles
Curry et al. Comparison of two models evaluating automobile safety features
Dodzo Determination of the Economic Service Life of Fleet Vehicles
Kolitschova et al. Forensic aspects of VIN location on motor vehicles