Development of a Vision-Based Driver Assistance System with Lane Departure Warning and Forward Collision Warning Functions

Author(s):  
Jing-Fu Liu ◽  
Yi-Feng Su ◽  
Ming-Kuan Ko ◽  
Pen-Ning Yu
Author(s):  
Arpit S Agarkar

Around the whole world, lot of accidents occur due to inattentive driving and human errors. Partial Autonomous Driver Assistance System can be of lot of help to the driver in avoiding the collision and maintain the control of the vehicle by giving different warning signals. The system consists of (i) Forward Collision Warning (ii) Lane Departure Warning. In the existing vehicles, by adding RADAR Sensors and Camera and a microcontroller for processing, it can be used to track the lanes and gives an acoustic warning in advance if there is lane departure or any vehicle or pedestrian ahead. The proposed system can be implemented on raspberry pi microcontroller board.


2010 ◽  
Vol 43 (7) ◽  
pp. 471-476 ◽  
Author(s):  
Nicoleta Minoiu Enache ◽  
Saïd Mammar ◽  
Sébastien Glaser ◽  
Benoit Lusetti

Author(s):  
Noor Cholis Basjaruddin ◽  
Kuspriyanto Kuspriyanto ◽  
Didin Saefudin ◽  
Alditama Rachman

Accidents due to cross the lane (lane departure crash) of achieving 19% of all accidents. These accidents mostly caused because the driver is not concentrating or dozing. A device that can help the driver so that the vehicle does not exit lanes known as Active Lane Keeping Assist (ALKA). ALKA is a subsystem of Advanced Driver Assistance System (ADAS) and is now used in several brands of cars namely Audi, BMW, and Ford. ALKA useful to help the driver, especially on roads with monotonous situations such as toll roads. This paper presents the development of fuzzy logic-based algorithm for ALKA. A battery toy car is used as a hardware simulation to test the algorithm in real time situation. The test results at three different speeds are slow, medium,   and   high   indicate   that   the   algorithm   can   work according to design.


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