Evidence collection from car black boxes using smartphones

Hong, Chulhwa; Le, Truong; Chae, Kang-Suk; Jung, Souhwan

doi:10.1109/ccnc.2011.5766619

Cited by 8 publications

(5 citation statements)

References 3 publications

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“…Hong et al [6] have proposed a black-box evidence collection system to use vehicle's black-box video for a car accident analysis by the police. Critical video clips from car black box can be transmitted to the police station server using smart phones.…”

Section: Related Wordmentioning

confidence: 99%

“…In the sense that vehicular black-box videos are communicated for a traffic analysis, the proposed system is similar to our proposed model. While [6] is designed for a special purpose of the traffic analysis by the police, our model is designed for a purpose to use vehicular black-box video generally among all vehicles in a VANET environment. In addition, our model provides stronger security mechanisms.…”

Section: Related Wordmentioning

confidence: 99%

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The architecture for vehicular black-box image communication in VANET

Hee

Park

Hwang

et al. 2014

2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN)

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In this paper, we introduce a new practical and secure architecture for vehicular black-box image communication in a VANET environment. Since black-box images show more detailed descriptions of the vehicle and the ambient conditions, more reliable traffic information and analysis can be provided. The main barrier to establish the black-box image communication system is that the communicational and computational overheads for transferring and processing images are pretty big. In addition, the abuse of black-box images can infringe on the privacy of driver since vehicle's behaviors and driving patterns can be easily exposed from the images. In this paper, we propose an efficient and secure vehicular black-box image communication model. Our proposed model minimizes the communicational and computation overheads by GPS based-key frame extraction and communication technique. In addition, the proposed model, assisted by RSUs, guarantees the reliable use of the images and preserves driver's privacy. We also provide the simulated performance of our model with real black-box images.

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Section: Related Wordmentioning

confidence: 99%

Section: Related Wordmentioning

confidence: 99%

The architecture for vehicular black-box image communication in VANET

Hee

Park

Hwang

et al. 2014

2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN)

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“…Recent times have seen the creation of several works such as the Real Time Traffic Accident Detection System (RTTADS), which makes use of Wireless Sensor Network (WSN) and Radio Frequency Identification (RFID) Technologies [8]. But in these, the cost of the equipment is high.…”

Section: Related Workmentioning

confidence: 99%

“…Many EDR products have been developed for vehicles, but they must be physically connected to sensors that are built into the vehicle's engine and system [12]. The idea of our work is to track down any incident and disclose the site of the incident using the previously provided contact information [13] and [8]. The purpose of the article is to revolutionise the area of motor vehicle accident investigation by recording informative data such as the speed of the vehicle, the temperature of the engine, and other relevant information.…”

Section: Related Workmentioning

confidence: 99%

A smart IOT based black-box system for automobiles

Vanitha

Arunkumar

et al. 2023

J. Phys.: Conf. Ser.

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The combination of computer technology and cars has resulted in the creation of a new level of knowledge services in vehicles. The capabilities that the car recorder has are quite similar to those of a heavier-than-aircraft recorder. It is used to study the causes of automobile accidents and to avoid the loss of life and property that occurs from the collisions. In this study, a paradigm for an associate Automobile Recording System that will be installed inside automobiles is proposed. The purpose of the system is to conduct an investigation into the occurrence of accidents by searching for the reason in an objective manner and monitoring what takes place within the cars. The method also includes enhancing safety by prohibiting tampering with the recorder’s information in order to make it more foolproof. The Arduino controllers are used in order to control the various sensors. The primary objective of this study is to design a model for the recorder system that can be installed into any vehicle, located anywhere in the world. This paradigm is often conceived using the smallest possible range of circuits. This leads to the development of safer cars, improved care for accident survivors, assistance to insurance companies for auto crash reports, and improved traffic safety on roads, all of which contribute to a lower death rate. Additionally, this helps improve traffic safety on roads, which also contributes to improved road safety.

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“…Most researches related to vehicular black-box [1][2][3][4][5] are focused on developing intelligent recording systems with high performance for detecting and simulating abnormal vehicular situations or events with advanced controllers or diverse vehicular sensors. Related to the black-box image sharing, Hong et al [6] have proposed a black-box evidence collection system, which transmits vehicle's critical video clip to the police station using smart phones for a car accident analysis. Gnanavel [7] has designed another vehicle protection system, which also transmits all sensed signals to the police station.…”

Section: Related Workmentioning

confidence: 99%

A group-based vehicular black-box image sharing model using smart phones in VANET

Hee¹,

Kim²,

Do³

et al. 2014

ces

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In this paper, we introduce a new practical and secure architecture for vehicular black-box image sharing in VANET, which consists of black-box equipped vehicles, roadside units (RSUs) and a centralized traffic image control server (TICS). In our model, all vehicles that registered to TICS provide with their black-box images to TICS so that TICS manages all traffic images about the entire roads. Then, the vehicles can obtain up-to-date traffic images for any locations from TICS in real-time. For its efficient and secure use, we propose an RSU-assisted communication mechanism to minimize the communicational overheads, and anonymous authentication protocols for preserving vehicle's privacy. We also analyze the efficiency of our model using NS3 simulator.

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Evidence collection from car black boxes using smartphones

Cited by 8 publications

References 3 publications

The architecture for vehicular black-box image communication in VANET

The architecture for vehicular black-box image communication in VANET

A smart IOT based black-box system for automobiles

A group-based vehicular black-box image sharing model using smart phones in VANET

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