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.

New Lane Departure Warning System Based on Side-View Cameras

2015 ◽  
Vol 764-765 ◽  
pp. 1361-1365
Author(s):  
Cheng Yu Chiu ◽  
Chih Han Chang ◽  
Hsin Jung Lin ◽  
Tsong Liang Huang
Keyword(s):  
Warning System ◽  
Side View ◽  
Lane Departure Warning ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Warning Messages ◽  
Warning Message ◽  
Lane Departure ◽  
Assistance Systems ◽  
The Right

This paper addressed a new lane departure warning system (LDWS). We used the side-view cameras to promote Advanced Driver Assistance Systems (ADAS). A left side-view camera detected the right lane next to vehicle, and a right side-view camera detected the right lane. Two cameras processed in their algorithm and gave warning message, independently and separately. Our algorithm combined those warning messages to analyze environment situations. At the end, we used the LUXGEN MPV to test and showed results of verifications and tests.

scholarly journals Toward Intelligent Human Machine Interactions

2017 ◽  
Vol 139 (06) ◽  
pp. S4-S8 ◽  
Author(s):  
Yingzi Lin
Keyword(s):  
Control Strategy ◽  
Driver Assistance System ◽  
Effective Means ◽  
Rehabilitation Robotics ◽  
Driver Assistance ◽  
Human Errors ◽  
Important Method ◽  
Warning Message ◽  
Powerful Research Tool ◽  
Assistance Systems

This article discusses the concept of human assistance systems (HAS) and research works to design the interface of HAS. It also focuses on the issue of how humans and HAS collaborate with each other during such interactions. HAS are expected to detect and compensate for human errors. In a case that a machine is a part of the team to complete an operation, it is highly desired that HAS collaborate with humans effectively. Advances on HAS have been made within application areas including vehicle driving, pilot–flight interfaces, healthcare and rehabilitation, robotics, etc. One important method for studying driver assistance system (DAS) is the availability of a powerful research tool, as the simulator is an effective means to generate real-world traffic scenarios without putting drivers in any real danger. A control strategy for HAS been investigated, especially for DAS. The goal is to provide a warning message and/or intervention to the driver if necessary to avoid hitting objects on road while not frustrating the user.

Sign in / Sign up

Export Citation Format

Share Document