کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
561354 1451884 2012 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Traffic jam driving with NMV avoidance
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Traffic jam driving with NMV avoidance
چکیده انگلیسی

In recent years, the development of advanced driver assistance systems (ADAS) – mainly based on lidar and cameras – has considerably improved the safety of driving in urban environments. These systems provide warning signals for the driver in the case that any unexpected traffic circumstance is detected. The next step is to develop systems capable not only of warning the driver but also of taking over control of the car to avoid a potential collision. In the present communication, a system capable of autonomously avoiding collisions in traffic jam situations is presented. First, a perception system was developed for urban situations—in which not only vehicles have to be considered, but also pedestrians and other non-motor-vehicles (NMV). It comprises a differential global positioning system (DGPS) and wireless communication for vehicle detection, and an ultrasound sensor for NMV detection. Then, the vehicle's actuators – brake and throttle pedals – were modified to permit autonomous control. Finally, a fuzzy logic controller was implemented capable of analyzing the information provided by the perception system and of sending control commands to the vehicle's actuators so as to avoid accidents. The feasibility of the integrated system was tested by mounting it in a commercial vehicle, with the results being encouraging.


► Traffic jams accident prevention system for vehicles and non-motor vehicles.
► A fusion system of vehicle-to-vehicle communications with ultrasonic sensors.
► Fuzzy controller for autonomously management of vehicle's actuators.
► Whole system integrated in a production vehicle for testing and validation.
► Encouraging results in real roads with a video showing the system performance.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 31, August 2012, Pages 332–344
نویسندگان
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