Performance Analysis for Design of a High-Precision Electronic Opto-Mechanical System for Vehicle Delineation Detection on Highway

Wang, Zhaoqing; Chen, Bin; Cheng, Harry H.; Shaw, Benjamin D.; Palen, Joe

doi:10.1115/1.1625401

Cited by 8 publications

(5 citation statements)

References 3 publications

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“…Errors arose from the timing difference in the gap between the recorded timestamps and the true timestamps due to discrete sampling of the laser sensor. These errors related to the vehicle speed and the update rate of the laser sensors [11]. When the update rate for the laser sensor is fixed, if the vehicle travels at a high speed, the result is lower sampled points for the detector.…”

Section: Simulationsmentioning

confidence: 99%

“…For instance, Cheng, Shaw et al developed a detection system utilizing a pair of retroreflective laser sensors [10]. However, the usage of these sensors may induce errors in practical implementation [11]. Li et al [12] and Atluri et al [13] developed detectors based on transmission-based laser sensors and delivered results with a high level of accuracy, but the proposed method is difficult to transform due to the lack of generalization ability.…”

Section: Introductionmentioning

confidence: 99%

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Single Variable-Constrained NDT Matching in Traffic Data Collection Using a Laser-Based Detector

Qiu¹,

Li²,

Zhang³

et al. 2021

IEEE Access

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As indispensable components of intelligent transportation systems, traffic detection and surveillance technologies deliver speed monitoring, traffic counting, and vehicle identification and classification. This paper proposes a normal distribution transform (NDT) algorithm to improve the speed accuracy and robustness of a laser-based detector. This method can deliver more accurate estimation of vehicle speed, enabling computation of the parameters of length and height. The results of simulation with different detector update rates suggest that the average estimation errors of vehicle parameters can be reduced using the NDT matching method, especially for the low detector update rate. The study also implemented a series of field experiments using the proposed detector prototype to verify the detector's measurements of vehicle parameters. The proposed method is a promising way in which to improve the laser-based traffic detector. In simulation test, initial experiments show that the accuracy of speed estimation can reach 95%, given the update rate of 1000 Hz for detector, the average length error can be reduced by approximately 60%. Even for speeding vehicles traveling at 150 km/h, the estimated speed error is limited to 10 km/h. In field test, for a vehicle at the speed of 80km/h, the estimation errors are within the threshold of the maximum errors of simulation, that is, 32 cm for length error and 5.71 km/h for speed error results.

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Section: Simulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Single Variable-Constrained NDT Matching in Traffic Data Collection Using a Laser-Based Detector

Qiu¹,

Li²,

Zhang³

et al. 2021

IEEE Access

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“…The theory behind this technology is that laser receivers detect the absence and presence of single or dual laser beams to determine the "presence" of vehicles (Harlow and Peng, 2001, Abramson and Chenoweth, 2000, Scientific Technologies Inc., 2006. However, much of this work focused on the overhead laser sensor (Hussain, et al, 1993, Hussain, 1995, Tropartz, et al, 1999, Cheng, et al, 2000, Lin, et al, 2001, Wang, et al, 2003. Hussain et al developed a reflectionbased infrared laser system which transmits laser signals on the road and senses vehicles by receiving laser signals reflected back from vehicle exteriors, to monitor traffic (Hussain, et al, 1993, Hussain, 1995.…”

Section: Development Of a Sensor…mentioning

confidence: 99%

“…Their findings indicated that the product, built by MBB SensTech, could accurately differentiate vehicle types using infrared lasers. In 1995, researchers from the University of Victoria developed the automatic vehicle dimension measure system (AVDMS), employing the system used the Schwartz Electro-Optics Autosense 3 sensor (Cheng, et al, 2000, Lin, et al, 2001, Wang, et al, 2003. These sensors can detect the distance between the detector and the object to determine the presence, size, and shape of the vehicle.…”

Section: Development Of a Sensor…mentioning

confidence: 99%

“…These sensors can detect the distance between the detector and the object to determine the presence, size, and shape of the vehicle. Cheng et al designed and tested another reflection-based laser detection system, capable of detecting traffic presence, classifying vehicles and estimating speed (Cheng, et al, 2000, Lin, et al, 2001, Wang, et al, 2003. The detector consists of an infrared laser diode, sensor optics, photodiode array, sensor electronics, and a data processing computer system.…”

Section: Development Of a Sensor…mentioning

confidence: 99%

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Development of a sensor system for traffic data collection

Atluri

Chowdhury²,

Kanhere

et al. 2009

J of Advced Transportation

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Although many types of traffic sensors are currently in use, all have some drawbacks, and widespread deployment of such sensor systems has been difficult due to high costs. Due to these deficiencies, there is a need to design and evaluate a low cost sensor system that measures both vehicle speed and counts. Fulfilling this need is the primary objective of this research. Compared to the many existing infrared-based concepts that have been developed for traffic data collection, the proposed method uses a transmission-based type of optical sensor rather than a reflection-based type. Vehicles passing between sensors block transmission of the infrared signal, thus indicating the presence of a vehicle. Vehicle speeds are then determined using the known distance between multiple pairs of sensors. A prototype of the sensor system, which uses laser diode and photo detector pairs with the laser directly projected onto the photo detector, was first developed and tested in the laboratory. Subsequently this experimental prototype was implemented for field testing. The traffic flow data collected were compared to manually collected vehicle speed and traffic counts and a statistical analysis was done to evaluate the accuracy of the sensor system. The analysis found no significant difference between the data generated by the sensor system and the data collected manually at a 95% confidence interval. However, the testing scenarios were limited and so further analysis is necessary to determine the applicability in more congested urban areas. The proposed sensor system, with its simple technology and low cost, will be suitable for M. Atluri, M. Chowdhury, N. Kanhere, R. Fries, W. Sarasua, J. Ogle 2 saturated deployment to form a densely distributed sensor network and can provide unique support for efficient traffic incident management. Additionally, because it may be quickly installed in the field without the need of elaborate fixtures, it may be deployed for use in temporary traffic management applications such as traffic management in road work zones or during special events.

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Mobile-C: a mobile agent platform for mobile C/C++ agents

Chen

Cheng

Palen

2006

Softw: Pract. Exper.

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This article presents the design, implementation and application of Mobile‐C, an IEEE Foundation for Intelligent Physical Agents (FIPA) compliant agent platform for mobile C/C++ agents. IEEE FIPA standards are a set of specifications designed to ensure the interoperation between agents in a heterogeneous network. Mobile‐C conforms to the FIPA standards both at agent and platform level. Mobile‐C extends FIPA standards to support mobile agents by integrating an embeddable C/C++ interpreter—Ch—into the platform as a mobile agent execution engine and defining a mobile agent mobility protocol to direct agent migration process. Agent migration in Mobile‐C is achieved through FIPA agent communication language (ACL) messages encoded in XML. Using FIPA ACL messages for agent migration provides a straightforward but effective way for inter‐platform agent migration in FIPA compliant agent systems as both agent communication and migration can share the same communication mechanism. Choosing scriptable C/C++ as a mobile agent language allows mobile agents easy interfacing with low‐level software modules and underlying hardware. Mobile‐C has been used to simulate highway traffic detection and management. The agent‐based traffic detection and management system uses agent technology for real‐time distributed traffic information fusion. Mobile agents in the system are used for dynamic code deployment and performing unanticipated actions. The application of agent technology shows a great potential for enhancing the interoperability, flexibility and distributed computing capabilities of intelligent transportation systems. Copyright © 2006 John Wiley & Sons, Ltd.

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Performance Analysis for Design of a High-Precision Electronic Opto-Mechanical System for Vehicle Delineation Detection on Highway

Cited by 8 publications

References 3 publications

Single Variable-Constrained NDT Matching in Traffic Data Collection Using a Laser-Based Detector

Single Variable-Constrained NDT Matching in Traffic Data Collection Using a Laser-Based Detector

Development of a sensor system for traffic data collection

Mobile-C: a mobile agent platform for mobile C/C++ agents

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