Software Solution for Monitoring and Analyzing Driver Behavior

Gavruta, Alex; Marcu, Marius; Bogdan, Răzvan

doi:10.1109/saci.2018.8440948

Cited by 4 publications

(5 citation statements)

References 6 publications

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“…Andria et al [5] recognized gear shift: upshift (soft/cruising or hard/ accelerating) and downshift (hydraulic braking or engine braking) an the driving style: moderate driving or aggressive driving. Finally, Găvrută et al [27] identified turns, accelerations and breaks.…”

Section: Threshold-based Approachesmentioning

confidence: 99%

“…Euler angles N/A [63] N/A Euler angles N/A [64] High-pass fourth-order Butterworth N/A N/A [65] N/A N/A N/A [66] N/A N/A N/A [69] Daubechies wavelet transform N/A N/A [70] Low pass N/A N/A [67] N/A Euler angles N/A SN Computer Science [12] Simple moving average N/A N/A [16] N/A N/A N/A [19] Discrete wavelet transformation N/A N/A [27] N/A N/A N/A [38] Median Average…”

Section: Appendix 1: Summary Datamentioning

confidence: 99%

“…Driving style: moderate driving or aggressive driving [4] Time N/A N/A Ramp-up, ramp-down and u-turn and speeding [6] Time Online Adaptive Fuzzy Classifier Acceleration, steering and braking [12] Time Real time Random Forest Braking and acceleration [16] Time N/A Fuzzy Logic Dangerous driving behavior [19] Frequency N/A Adaptive Neuro Fuzzy Inference System Safe, semi-aggressive or aggressive. [27] Time N/A Threshold Turns, accelerations and breaks [38] Time N/A Threshold Abnormal speed up or down, steering and weaving [42]…”

Section: Appendix 1: Summary Datamentioning

confidence: 99%

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Vehicular Perception Based on Inertial Sensing: A Structured Mapping of Approaches and Methods

Menegazzo

Wangenheim

2020

SN COMPUT. SCI.

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In this paper, we present a structured literature mapping of the state-of-the-art of vehicular perception methods and approaches using inertial sensors. An in-depth investigation and classification were performed employing the results of a systematic literature review. The analysis focused on identifying methods that capture signals provided by inertial sensors such as accelerometers and gyroscopes to recognize transient or persistent events associated with the vehicle's movement. We classified these events into vehicular exteroception, associated with potholes, cracks, speed bumps, pavement type, conservation state; and vehicular proprioception, associated with lane change, braking, skidding, aquaplaning, turning right or left. Through the comprehensive study of publications in a 7-year time window, in addition to the methods, we have also identified their dependency factors, hardware platforms and applications.

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Section: Threshold-based Approachesmentioning

confidence: 99%

Section: Appendix 1: Summary Datamentioning

confidence: 99%

Section: Appendix 1: Summary Datamentioning

confidence: 99%

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Vehicular Perception Based on Inertial Sensing: A Structured Mapping of Approaches and Methods

Menegazzo

Wangenheim

2020

SN COMPUT. SCI.

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“…e frequency of these events is high, and in some cases, the consequence could be fatal. In terms of traffic collisions, the Association for Safe International Road Travel (ASIRT) reports approximately 1.35 million deaths per year and 20 to 50 million nonfatal injuries [1]. In sports where physical contact is required, the most common injury suffered is a concussion.…”

Section: Introductionmentioning

confidence: 99%

“…(a) shows the force sensor(1) values reported in test no. 1 of the larger lateral impact test.e force values are between 6.96 and 7.53 N. Figure5(b) shows the head and neck accelerations' values.…”

mentioning

confidence: 99%

Impact Device for Biomechanics of Human Head-Neck Injuries

Rueda-Arreguín

Ceccarelli

Miguel

2021

Mathematical Problems in Engineering

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This paper describes experimental tests in LARM2 in Rome to analyze impacts on a human head. The tests consist of performing three different types of impact by hitting a commercial head mannequin with a rigid object. Inertial Measurement Unit (IMU) sensors and force sensors measure each impact’s effect and evaluate the results. The sensors are located on suitable head points to monitor force, acceleration, and angular displacement on small and large lateral impact and top impact events. Results of tests are discussed to investigate and characterize the biomechanics in human head impacts. Considerations from results are used to formulate a new criterion for head-neck injury by impacts.

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Driving risk prevention in usage-based insurance services based on interpretable machine learning and telematics data

Luo

Zhang

et al. 2023

Decision Support Systems

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Software Solution for Monitoring and Analyzing Driver Behavior

Cited by 4 publications

References 6 publications

Vehicular Perception Based on Inertial Sensing: A Structured Mapping of Approaches and Methods

Vehicular Perception Based on Inertial Sensing: A Structured Mapping of Approaches and Methods

Impact Device for Biomechanics of Human Head-Neck Injuries

Driving risk prevention in usage-based insurance services based on interpretable machine learning and telematics data

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