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.

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 Co-DAS: Development and Evaluation of Co-Driver Assistance System Concepts to Reduce Passenger Discomfort

2021 ◽  
Author(s):  
Sandra Ittner ◽  
Dominik Muehlbacher ◽  
Mark Vollrath ◽  
Thomas H. Weisswange
Keyword(s):  
Cognitive Processes ◽  
Driver Assistance System ◽  
Missing Information ◽  
Driver Assistance ◽  
Driving Experience ◽  
Car Following ◽  
The Everyday ◽  
Assistant Systems ◽  
Assistance Systems

The front seat passenger is often neglected when developing support systems for cars. There exist few examples of systems that provide information or interaction possibilities specifically to those passengers. Previous research indicated that the passive role of the passenger can frequently lead to a feeling of discomfort, potentially caused by missing information and missing control with respect to the driving situation. This paper proposes a variety of prototypical passenger assistance systems that target different aspects of the cognitive processes which could cause the feeling of discomfort. In a simulator study with N = 40 participants, these systems were investigated with respect to their influence on measures of discomfort. Participants experienced different car following and braking scenarios on the highway with different time headways, with and without one of the passenger assistance systems. Based on the subjective measures, three systems were identified as particularly useful in reducing discomfort. For the best of these proposals, more than 63 % of the passengers confirmed the usefulness of the approach and reported an interest in using it in their vehicle. This demonstrates significant opportunities to improve the everyday driving experience beyond classical assistant systems by explicitly taking into account the needs of the passengers.

Implementation 2D Lidar and Camera for detection object and distance based on RoS

2020 ◽  
Vol 4 (4) ◽  
pp. 231
Author(s):  
Agus Mulyanto ◽  
Rohmat Indra Borman ◽  
Purwono Prasetyawan ◽  
A Sumarudin
Keyword(s):  
Warning System ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Human Errors ◽  
Collision Warning ◽  
Robot Operating System ◽  
Vehicle Collision ◽  
Environment Perception ◽  
Assistance Systems ◽  
Camera Sensors

The advanced driver assistance systems (ADAS) are one of the issues to protecting people from vehicle collision. Collision warning system is a very important part of ADAS to protect people from the dangers of accidents caused by fatigue, drowsiness and other human errors. Multi-sensors has been widely used in ADAS for environment perception such as cameras, radar, and light detection and ranging (LiDAR). We propose the relative orientation and translation between the two sensors are things that must be considered in performing fusion. we discuss the real-time collision warning system using 2D LiDAR and Camera sensors for environment perception and estimate the distance (depth) and angle of obstacles. In this paper, we propose a fusion of two sensors that is camera and 2D LiDAR to get the distance and angle of an obstacle in front of the vehicle that implemented on Nvidia Jetson Nano using Robot Operating System (ROS). Hence, a calibration process between the camera and 2D LiDAR is required which will be presented in session III. After that, the integration and testing will be carried out using static and dynamic scenarios in the relevant environment. For fusion, we use the implementation of the conversion from degree to coordinate. Based on the experiment, we result obtained an average of 0.197 meters

Driver Assistance Systems with Communication to Traffic Lights - Configuration of Assistance Systems by Receiving and Transmission and Field Experiments -

2010 ◽  
Vol 22 (6) ◽  
pp. 737-744 ◽  
Author(s):  
Shin Kato ◽  
◽  
Naohisa Hashimoto ◽  
Takeki Ogitsu ◽  
Sadayuki Tsugawa ◽  
...  
Keyword(s):  
Field Experiments ◽  
Driver Assistance System ◽  
The State ◽  
Assistance System ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Traffic Lights ◽  
Assistance Systems

We propose some driver assistance systems with communication to traffic lights. It proposes the driver assistance system that uses information from the traffic lights with the state of the signal and time of the cycle. The demand traffic lights systems are also proposed. In addition, a consideration of the configuration and the construction of the experiment systems, and some field experiments for driver assistance are described.

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.

scholarly journals Lane Departure and Collision Controlling using Image Processing

2019 ◽  
Vol 8 (6) ◽  
pp. 1267-1271
Keyword(s):  
Automatic System ◽  
Driver Assistance System ◽  
Lane Detection ◽  
Large Set ◽  
Road Accidents ◽  
Driver Assistance ◽  
Alert System ◽  
High Demand ◽  
Warning Message ◽  
Lane Departure

Lane departure is an Advanced Driver Assistance System (ADAS). In today’s world of technology, the automotive sector is gaining high demand. The advancements in this field have made life easy and danger free. Road accidents lead to large set of accidents because of the negligence of driver hence an automatic system has to be designed. Here, road lane detection, tracking method and warning alert system is proposed and implemented using MATLAB software. This paper displays the warning message for each departure of the vehicle and thus avoiding the collision.

scholarly journals Design of Lightweight Driver-Assistance System for Safe Driving in Electric Vehicles

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4761 ◽  
Author(s):  
Shabir Ahmad ◽  
Sehrish Malik ◽  
Dong-Hwan Park ◽  
DoHyeun Kim
Keyword(s):  
Electric Vehicles ◽  
Driver Assistance System ◽  
Cost Driver ◽  
Assistance System ◽  
Battery Life ◽  
Human Beings ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Safe Driving ◽  
Assistance Systems

Electric-vehicle technology is an emerging area offering several benefits such as economy due to low running costs. Electric vehicles can also help to significantly reduce CO 2 emission, which is a vital factor for environmental pollution. Modern vehicles are equipped with driver-assistance systems that facilitate drivers by offloading some of the tasks a driver does while driving. Human beings are prone to errors. Therefore, accidents and fatalities can happen if the driver fails to perform a particular task within the deadline. In electric vehicles, the focus has always been to optimize the power and battery life, and thus, any additional hardware can affect their battery life significantly. In this paper, the design of driver-assistance systems has been introduced to automate and assist in some of the vital tasks, such as a braking system, in an optimized manner. We revamp the idea of the traditional driver-assistance system and propose a generic lightweight system based on the leading factors and their impact on accidents. We model tasks for these factors and simulate a low-cost driver-assistance system in a real-time context, where these scenarios are investigated and tasks schedulability is formally proved before deploying them in electric vehicles. The proposed driver-assistance system offers many advantages. It decreases the risk of accidents and monitors the safety of driving. If, at some point, the risk index is above a certain threshold, an automated control algorithm is triggered to reduce it by activating different actuators. At the same time, it is lightweight and does not require any dedicated hardware, which in turn has a significant advantage in terms of battery life. Results show that the proposed system not only is accurate but also has a very negligible effect on energy consumption and battery life.

Active gated imaging in driver assistance system

2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Yoav Grauer
Keyword(s):  
Driver Assistance System ◽  
Imaging System ◽  
Weather Conditions ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Cmos Imager ◽  
Processing Power ◽  
Assistance Systems ◽  
The Time Domain ◽  
Gated Imaging

AbstractIn this paper, we shall present the active gated imaging system (AGIS) in relation to the automotive field. AGIS is based on a fast-gated camera and pulsed illuminator, synchronized in the time domain to record images of a certain range of interest. A dedicated gated CMOS imager sensor and near infra-red (NIR) pulsed laser illuminator, is presented in this paper to provide active gated technology. In recent years, we have developed these key components and learned the system parameters, which are most beneficial to nighttime (in all weather conditions) driving in terms of field of view, illumination profile, resolution, and processing power. We shall present our approach of a camera-based advanced driver assistance systems (ADAS) named BrightEye™, which makes use of the AGIS technology in the automotive field.

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