Conferences related to Vehicle detection

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2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation


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Periodicals related to Vehicle detection

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Geoscience and Remote Sensing Letters, IEEE

It is expected that GRS Letters will apply to a wide range of remote sensing activities looking to publish shorter, high-impact papers. Topics covered will remain within the IEEE Geoscience and Remote Sensing Societys field of interest: the theory, concepts, and techniques of science and engineering as they apply to the sensing of the earth, oceans, atmosphere, and space; and ...


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Most published Xplore authors for Vehicle detection

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Xplore Articles related to Vehicle detection

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Detection of Obstacles on Railway Level-Crossings

1975 5th European Microwave Conference, 1975

The detection of obstacles on railway level-crossings is usually ensured by small radars utilizing gunn diodes or similar devices. This process is not quite safe however and it may happen that a vehicle at standstill on the railway track cannot be detected. We are studying surface wave propagation, guided by the rails using transistor transmitters at lower frequencies.


Detection of angular difference by acoustic wave sensor used in AGV system

Proceedings of the 1992 International Conference on Industrial Electronics, Control, Instrumentation, and Automation, 1992

The authors describe novel sensors for the follow-up control of an automatic guided vehicle (AGV). In the running control system, two kinds of novel acoustic sensors for detecting the angular difference between the direction of motion of the forward running vehicle and that of the following vehicle are examined. The operating characteristics of the novel acoustic sensors are presented. One ...


Preferred time-headway of highway drivers

ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585), 2001

The preferred time-headway of drivers in highway conditions is related to the likelihood of rear-end collisions. We studied traffic data from a section of southbound highway 101- a heavily commuted eight-lane freeway between San Francisco and the Silicon valley in California. We observed two parameters that drivers regulate during free flow, rush hour, and heavy traffic conditions: (1) the speed ...


Research on Vehicle Identification Based on High Resolution Satellite Remote Sensing Image

2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), 2019

Traditional traffic information acquisition methods had many limitations, so the acquisition of road traffic information from high-resolution satellite images had become a research hotspot in intelligent traffic system. In this paper, the object oriented classification method is used to establish the vehicle detection and processing process of high resolution satellite image. First, the high resolution satellite image was processed by ...


Back-Propagation Neural Network for Traffic Incident Detection Based on Fusion of Loop Detector and Probe Vehicle Data

2008 Fourth International Conference on Natural Computation, 2008

Traffic incident detection based on a fusion of various available data sources has been an evolving research topic in ITS. This paper proposes a data fusion model for traffic incident detection using BP neural network. In this model, the cumulative sum (CUSUM) approach is used to develop incident detection algorithms using loop detector data and probe vehicle data respectively, while ...


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Educational Resources on Vehicle detection

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IEEE.tv Videos

Multi-Function VCO Chip for Materials Sensing and More - Jens Reinstaedt - RFIC Showcase 2018
Cooperative Vehicle-to-Vehicle and Vehicle-to-Infrastructure Communication and Networking Protocols
State-of-the art techniques for advanced vehicle dynamics control & vehicle state estimation
ITEC 2014: Next Generation Combat Vehicle Electrical Power Architecture Development
International Electric Vehicle Conference 2012
An FPGA-Quantum Annealer Hybrid System for Wide-Band RF Detection - IEEE Rebooting Computing 2017
New Approach of Vehicle Electrification: Analysis of Performance and Implementation Issue
Self-Driving Buses: Minnesota Pilot Project - IEEE Region 4 Presentation
Defense Department's Crusher Field Demonstration
Transportation Electrification: Connected Vehicle Environment
Lecture by Dr. Ratnesh Kumar "Vehicle Re-identification for Smart Cities: A New Baseline Using Triplet Embedding"
APEC Speaker Highlights: JB Straubel, CTO, Tesla Motors, Inc.
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 5 of 7 - SQUID Instrumentation for Early Cancer Diagnostics
Implantable, Insertable and Wearable Micro-optical Devices for Early Detection of Cancer - Plenary Speaker, Christopher Contag - IPC 2018
Critical use cases for video capturing systems in autonomous driving applications
MOVE: Mobile Outreach Vehicle - Grayson Randall - Brief Sessions: Sections Congress 2017
Vehicle Electrification Technology Policy
Multiple Sensor Fault Detection and Isolation in Complex Distributed Dynamical Systems
APEC 2012 - John Oenick Plenary
Robotics History: Narratives and Networks Oral Histories: Gary Bradsky

IEEE-USA E-Books

  • Detection of Obstacles on Railway Level-Crossings

    The detection of obstacles on railway level-crossings is usually ensured by small radars utilizing gunn diodes or similar devices. This process is not quite safe however and it may happen that a vehicle at standstill on the railway track cannot be detected. We are studying surface wave propagation, guided by the rails using transistor transmitters at lower frequencies.

  • Detection of angular difference by acoustic wave sensor used in AGV system

    The authors describe novel sensors for the follow-up control of an automatic guided vehicle (AGV). In the running control system, two kinds of novel acoustic sensors for detecting the angular difference between the direction of motion of the forward running vehicle and that of the following vehicle are examined. The operating characteristics of the novel acoustic sensors are presented. One sensor is a 40 kHz ultrasonic wave sensor, while the other is an audible range sensor operating at a frequency of 1 kHz.<<ETX>>

  • Preferred time-headway of highway drivers

    The preferred time-headway of drivers in highway conditions is related to the likelihood of rear-end collisions. We studied traffic data from a section of southbound highway 101- a heavily commuted eight-lane freeway between San Francisco and the Silicon valley in California. We observed two parameters that drivers regulate during free flow, rush hour, and heavy traffic conditions: (1) the speed of their vehicle; and (2) the time-headway to the preceding vehicle. During free flow traffic, the preferred speeds show low variation within lanes, but large variations from lane to lane. During rush hour traffic, the time-headway between vehicles varies between 1 and 2 s for a range of traffic speeds. For all traffic conditions a lower limit of 1s is seen in time-headway, even when traffic volume does not push drivers toward tight spacing. The lower limit of 1s is consistent with what was found in several previous studies, but is significantly shorter than the 3s headway that is recommended by driving manuals. The short time-headways observed are within the limit of typical reaction time for braking by alert drivers, but probably lead to occasional accidents given variability in reaction times, decisions, and vehicle braking capabilities, especially when preview information is not available.

  • Research on Vehicle Identification Based on High Resolution Satellite Remote Sensing Image

    Traditional traffic information acquisition methods had many limitations, so the acquisition of road traffic information from high-resolution satellite images had become a research hotspot in intelligent traffic system. In this paper, the object oriented classification method is used to establish the vehicle detection and processing process of high resolution satellite image. First, the high resolution satellite image was processed by median filtering and denoising, and the enhancement of vehicle information in remote sensing images was realized by using the stretch of gray histogram. Secondly, the image was segmented to the optimal scale, and the optimal segmentation scale was determined by the method of the maximum average area of the vehicle. Then according to different color characteristics of vehicles with dark establish a separate classification rule set, based on the object-oriented classification of vehicle classification, by extracting feature threshold classification more bright color vehicles, using relationship between classes of vehicles using fuzzy classification method to extract the dark color vehicles, finally formed a high-resolution satellite remote sensing overall framework of vehicle detection.

  • Back-Propagation Neural Network for Traffic Incident Detection Based on Fusion of Loop Detector and Probe Vehicle Data

    Traffic incident detection based on a fusion of various available data sources has been an evolving research topic in ITS. This paper proposes a data fusion model for traffic incident detection using BP neural network. In this model, the cumulative sum (CUSUM) approach is used to develop incident detection algorithms using loop detector data and probe vehicle data respectively, while the BP neural network combines the outputs from both incident detection algorithms. The proposed algorithm is tested and evaluated with the data generated by the simulation model INTEGRATION. The result shows that the outputs using BP neural network improves the accuracy provided by each single source incident detection algorithm.

  • A vehicle segmentation approach by fast mean computation using integral image in intelligent transportation system

    In ITS, it is important to segment vehicle for vehicle detection system based on computer vision and the segmentation speed is very important in real time application. A simple vehicle segmentation algorithm is proposed in this paper, firstly, an effective preprocessing method to eliminate the affection of different scale gray pixels in different region, which can make the image be easily binarized; Secondly, a small threshold can be set to binarize the preprocessed image; After that, in order to avoid the small regions enclosed in big region, a inner region filling algorithm is presented; Thirdly, the image processed by first and second step can be easily segmented; Lastly, several transportation scene images are used to test the proposed algorithm, the result indicate the validity of the proposed segmentation algorithm.

  • Telematics might steer your car into the future

    A lot of the automotive industry's telematics, or dashboard gadgets, in development are focused on either increasing driver safety or giving the driver more pleasurable options that manage not to take the driver's attention off the road. The paper discusses technology such as voice-activated dashboard devices, adaptive cruise-control and MobilEye vision-based system.

  • Monitoring pedestrians in a uncontrolled urban environment by matching low-level features

    In this paper, the problem of non-rigid objects tracking in a uncontrolled urban environment is discussed. We first present a specific motion detection algorithm used to detect objects in the field of view of a fixed camera, such as pedestrians, vehicles, buses, etc. This real-time motion detection algorithm is based on the construction of a reference edge image of the background, composed of all stationary edges in the scene. The paper then deals with a specific matching procedure developed to extract the 2D motion parameters of the objects. This approach is used to estimate the mean crossing-time of pedestrians at urban road crossings. Finally, results on a real traffic image sequence are given in order to evaluate the performance of the system.

  • A Control Unit for a Motion Detector based on Histograms

    A motion detector system searches in a sequence of video frames for information that reveals movement on the monitored scene. Motion detection can be used in many applications such as for surveillance, human motion analysis, vehicle and pedestrian detection and tracking and in robotics. A motion detection system based on histograms was developed. The system acquires and digitizes video frames from a video camera and stores the digitized data in RAM memory. The digitized pixel data is integrated on the horizontal and vertical directions providing the respective horizontal and vertical histograms. The histograms can be compared frame to frame and when a movement occurs in the scene, a noticeable difference on the histograms will appear on the correspondent spatial region of the image. In this paper we present the control unit for the developed motion detector.

  • Traffic data collection from aerial imagery

    This paper describes a new data collection system prototype for determining individual vehicle trajectories from sequences of digital aerial images. The software was tested on data collected from a helicopter, using a digital camera gathering high-resolution monochrome images. From the test, it is concluded that the techniques for analyzing the digital images can be applied automatically without much problems: 98% of the vehicles could be detected and tracked automatically when conditions were reasonable; this number lowered to 90% after the weather conditions worsened. This percentage will increase substantially under better weather conditions. Furthermore, equipment stabilizing the camera-so-called gyroscopic mounting-and the use of color images can be applied to further improve the system.



Standards related to Vehicle detection

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Jobs related to Vehicle detection

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