The work describes the application of machine learning (ML) to categorization and diagnosis vehicle faults in power transmission system. For each failure characteristic condition, a algorithm may be employed categorize their separate diagnostic elements. use acoustic sensors can used create real-time detection approach for engines systems. Previously, it was contacting drivers or obscuring serv...

Distributed sensor networks are a significant technology nowadays. Inexpensive, smart devices with multiple sensors provide opportunities for instrumenting, monitoring and controlling targeting systems. Such sensor nodes have capability for acquiring and embeddedprocessing of variety of data forms. Collaborative signal processing and fusion algorithms are needed to aggregate the distributed dat...

The ability to recognize the encountered terrain is an essential part of any terrain-dependent control system designed for mobile robots. Terrains such as sand and gravel make vehicle mobility more difficult and thus reduce vehicle performance. To alleviate this problem the vehicle control system can be tuned for maximum speeds, turning angles, accelerations and other conditions to help adapt t...

For automated traffic monitoring and analysis system, the information about vehicletype is very important. It is necessary to develop a technique of vehicle-type classification which requires less computation power and is robust against small variations in appearance such as translation, expansion, difference of color, and so on. We have been considering developing a vehicle-type classification...

It is important to know the road traffic density real time especially in mega cities for signal control and effective traffic management. In recent years, video monitoring and surveillance systems have been widely used in traffic management. Hence, traffic density estimation and vehicle classification can be achieved using video monitoring systems. In most vehicle detection methods in the liter...

Algorithms for ground vehicle classification using acoustic measurements often use features based on the relative amplitudes of harmonic components. The average power measured at each harmonic frequency fluctuates due to scattering of the acoustic waves during propagation and additive noise at the sensor. In this paper, we use propagation models for frequencydependent scattering of acoustic sig...

Reliable prediction of surround vehicle motion is a critical requirement for path planning for autonomous vehicles. In this paper we propose a unified framework for surround vehicle maneuver classification and motion prediction that exploits multiple cues, namely, the estimated motion of vehicles, an understanding of typical motion patterns of freeway traffic and inter-vehicle interaction. We r...

To improve the response of an autonomous ground vehicle (AGV) as it seeks to complete an outdoor mission, the control system of the vehicle should vary as it encounters specific terrains such as sand, gravel, mud, or ice. To determine when to switch the control system it is beneficial to have accurate and fast online terrain classification. The earliest terrain classification algorithms were vi...

Traffic surveillance systems provide the data used by Intelligent Transportation Systems (ITS). The disadvantages of inductive loop detectors have led to the search for a reliable and cost-effective alternative system. This report summarizes a three-year research project in the prototype design, analysis and performance of wireless sensor networks for traffic surveillance, using both acoustic a...