On-Board Driver Assistance System for Lane Departure Warning and Vehicle Detection

2013 ◽  
Vol 1 (3) ◽  
pp. 132-136 ◽  
Author(s):  
Hamdi Yalın Yalıç ◽  
Ali Seydi Keçeli ◽  
Aydın Kaya
Keyword(s):  
Driver Assistance System ◽  
Vehicle Detection ◽  
Assistance System ◽  
Lane Departure Warning ◽  
Driver Assistance ◽  
Lane Departure

Driver assistance system for lane departure avoidance by steering and differential braking

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

A Driver-Assistance System for Large Vehicles Based on Pedestrian and Vehicle Detection

2014 ◽  
Vol 687-691 ◽  
pp. 3884-3888
Author(s):  
Xing Xing He ◽  
Lei Ding ◽  
Ping Wang ◽  
Fu Qiang Liu ◽  
Xin Hong Wang
Keyword(s):  
Detection Rate ◽  
Driver Assistance System ◽  
Vehicle Detection ◽  
Warning Signal ◽  
Assistance System ◽  
Detection Accuracy ◽  
Driver Assistance ◽  
Image Subtraction ◽  
Driving Assistance ◽  
Driving Assistance System

Apply driving assistance system to vehicles can significantly reduce accidences and thus attracts much interest nowadays. However, most existing systems are designed specifically for small vehicles and always suffer from drawbacks such as low pedestrian and vehicle detection accuracy and long detection time. To solve these issues, in this paper we develop a driver assistance system based on radar and camera, which can be applied to large vehicles and can detect vehicle and pedestrian simultaneously. Specifically, we combine the image subtraction technique and histogram algorithm to perform pedestrian and vehicle detection to improve detection rate. What’s more, this system can automatically determine whether the object is inside a danger region. If yes, an associated warning signal will be triggered to alarm the driver. Experimental results show that the successful detection rate is sufficiently good and the detecting speed is fast enough to timely alarm the driver to avoid accidents.

scholarly journals Effectiveness of ADAS in Existing Vehicles

2021 ◽  
Vol 9 (VI) ◽  
pp. 2471-2472
Author(s):  
Arpit S Agarkar
Keyword(s):  
Driver Assistance System ◽  
Raspberry Pi ◽  
Lane Departure Warning ◽  
Driver Assistance ◽  
Warning Signals ◽  
Human Errors ◽  
Collision Warning ◽  
Radar Sensors ◽  
Lane Departure ◽  
Forward Collision Warning

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.

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