Sensing Vehicle Conditions for Detecting Driving Behaviors

Nonfiction, Science & Nature, Technology, Telecommunications, Computers, General Computing, Programming
Cover of the book Sensing Vehicle Conditions for Detecting Driving Behaviors by Jiadi Yu, Yingying Chen, Xiangyu Xu, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Jiadi Yu, Yingying Chen, Xiangyu Xu ISBN: 9783319897707
Publisher: Springer International Publishing Publication: April 18, 2018
Imprint: Springer Language: English
Author: Jiadi Yu, Yingying Chen, Xiangyu Xu
ISBN: 9783319897707
Publisher: Springer International Publishing
Publication: April 18, 2018
Imprint: Springer
Language: English

This SpringerBrief  begins by introducing the concept of smartphone sensing and summarizing the main tasks of applying smartphone sensing in vehicles. Chapter 2 describes the vehicle dynamics sensing model that exploits the raw data of motion sensors (i.e., accelerometer and gyroscope) to give the dynamic of vehicles, including stopping, turning, changing lanes, driving on uneven road, etc. Chapter 3 detects the abnormal driving behaviors based on sensing vehicle dynamics. Specifically, this brief proposes a machine learning-based fine-grained abnormal driving behavior detection and identification system, D3, to perform real-time high-accurate abnormal driving behaviors monitoring using the built-in motion sensors in smartphones.

As more vehicles taking part in the transportation system in recent years, driving or taking vehicles have become an inseparable part of our daily life. However, increasing vehicles on the roads bring more traffic issues including crashes and congestions, which make it necessary to sense vehicle dynamics and detect driving behaviors for drivers. For example, sensing lane information of vehicles in real time can be assisted with the navigators to avoid unnecessary detours, and acquiring instant vehicle speed is desirable to many important vehicular applications. Moreover, if the driving behaviors of drivers, like inattentive and drunk driver, can be detected and warned in time, a large part of traffic accidents can be prevented.   However, for sensing vehicle dynamics and detecting driving behaviors, traditional approaches are grounded on the built-in infrastructure in vehicles such as infrared sensors and radars, or additional hardware like EEG devices and alcohol sensors, which involves high cost.  The authors illustrate that smartphone sensing technology, which involves sensors embedded in smartphones (including the accelerometer, gyroscope, speaker, microphone, etc.), can be applied in sensing vehicle dynamics and driving behaviors.

Chapter 4 exploits the feasibility to recognize abnormal driving events of drivers at early stage. Specifically, the authors develop an Early Recognition system, ER, which recognize inattentive driving events at an early stage and alert drivers timely leveraging built-in audio devices on smartphones. An overview of the state-of-the-art research is presented in chapter 5. Finally, the conclusions and future directions are provided in Chapter 6.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This SpringerBrief  begins by introducing the concept of smartphone sensing and summarizing the main tasks of applying smartphone sensing in vehicles. Chapter 2 describes the vehicle dynamics sensing model that exploits the raw data of motion sensors (i.e., accelerometer and gyroscope) to give the dynamic of vehicles, including stopping, turning, changing lanes, driving on uneven road, etc. Chapter 3 detects the abnormal driving behaviors based on sensing vehicle dynamics. Specifically, this brief proposes a machine learning-based fine-grained abnormal driving behavior detection and identification system, D3, to perform real-time high-accurate abnormal driving behaviors monitoring using the built-in motion sensors in smartphones.

As more vehicles taking part in the transportation system in recent years, driving or taking vehicles have become an inseparable part of our daily life. However, increasing vehicles on the roads bring more traffic issues including crashes and congestions, which make it necessary to sense vehicle dynamics and detect driving behaviors for drivers. For example, sensing lane information of vehicles in real time can be assisted with the navigators to avoid unnecessary detours, and acquiring instant vehicle speed is desirable to many important vehicular applications. Moreover, if the driving behaviors of drivers, like inattentive and drunk driver, can be detected and warned in time, a large part of traffic accidents can be prevented.   However, for sensing vehicle dynamics and detecting driving behaviors, traditional approaches are grounded on the built-in infrastructure in vehicles such as infrared sensors and radars, or additional hardware like EEG devices and alcohol sensors, which involves high cost.  The authors illustrate that smartphone sensing technology, which involves sensors embedded in smartphones (including the accelerometer, gyroscope, speaker, microphone, etc.), can be applied in sensing vehicle dynamics and driving behaviors.

Chapter 4 exploits the feasibility to recognize abnormal driving events of drivers at early stage. Specifically, the authors develop an Early Recognition system, ER, which recognize inattentive driving events at an early stage and alert drivers timely leveraging built-in audio devices on smartphones. An overview of the state-of-the-art research is presented in chapter 5. Finally, the conclusions and future directions are provided in Chapter 6.

More books from Springer International Publishing

Cover of the book Genetic Transformation Systems in Fungi, Volume 2 by Jiadi Yu, Yingying Chen, Xiangyu Xu
Cover of the book X-ray Nanochemistry by Jiadi Yu, Yingying Chen, Xiangyu Xu
Cover of the book Computer Science – Theory and Applications by Jiadi Yu, Yingying Chen, Xiangyu Xu
Cover of the book Creating and Sustaining Competitive Advantage by Jiadi Yu, Yingying Chen, Xiangyu Xu
Cover of the book Optical Character Recognition Systems for Different Languages with Soft Computing by Jiadi Yu, Yingying Chen, Xiangyu Xu
Cover of the book ISO 9001 Quality Management Systems by Jiadi Yu, Yingying Chen, Xiangyu Xu
Cover of the book Corruption and Anti-Corruption in Policing—Philosophical and Ethical Issues by Jiadi Yu, Yingying Chen, Xiangyu Xu
Cover of the book Safety Factor Profile Control in a Tokamak by Jiadi Yu, Yingying Chen, Xiangyu Xu
Cover of the book Advances in Bioprocess Technology by Jiadi Yu, Yingying Chen, Xiangyu Xu
Cover of the book Fundamentals of Computer Architecture and Design by Jiadi Yu, Yingying Chen, Xiangyu Xu
Cover of the book Natural Resources and Control Processes by Jiadi Yu, Yingying Chen, Xiangyu Xu
Cover of the book Dictionary of Pharmaceutical Medicine by Jiadi Yu, Yingying Chen, Xiangyu Xu
Cover of the book Insulation Measurement and Supervision in Live AC and DC Unearthed Systems by Jiadi Yu, Yingying Chen, Xiangyu Xu
Cover of the book SYRIZA by Jiadi Yu, Yingying Chen, Xiangyu Xu
Cover of the book Personalized Medicine by Jiadi Yu, Yingying Chen, Xiangyu Xu
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy