Vehicle Collision Prediction under Reduced Visibility Conditions
نویسندگان
چکیده
منابع مشابه
Highway Scene Analysis from a Moving Vehicle under Reduced Visibility Conditions
This paper describes and evaluates a real time vision system that detects and tracks vehicles on highways under reduced visibility conditions The system uses a forward looking video cam era in a moving car to estimate the distances of the car to other vehicles on the road Results of experiments on images sequences in di cult visibility conditions are presented
متن کاملImproving Traffic Safety and Driver Behavior in Reduced Visibility Conditions
This study is concerned with the safety risk of reduction of visibility on roadways. One way to improve safety under reduced visibility conditions (i.e., reduce the risk of visibility related crashes) is to improve drivers' behavior under such adverse weather conditions. However, there is lack of studies that attempted to better understand drivers' behavior at different traffic and visibility c...
متن کاملMedical conditions and motor vehicle collision injuries in older adults.
OBJECTIVE To determine whether medical conditions that can impair sensory, cognitive, or motor function increase the risk of injury due to motor vehicle collision in older drivers. DESIGN Case-control study. SETTING Group Health Cooperative of Puget Sound, a large prepaid health plan. PARTICIPANTS Group Health members age 65 or older who were licensed drivers in 5 counties. Cases were inj...
متن کاملCooperative Vehicle-to-Vehicle Active Safety Testing under Challenging Conditions
Cooperative vehicular communication systems are being developed to improve traffic safety and efficiency through the wireless exchange of information between vehicles and between vehicles and infrastructure units. The future deployment of cooperative active safety applications requires their prior extensive testing due to their critical nature and strict quality of service requirements. Such te...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sensors
سال: 2018
ISSN: 1424-8220
DOI: 10.3390/s18093026