Autonomous Vehicles
Automated Extraction of micro Traffic parameters Think Transportation undertake an assignment to estimate traffic parameters from an in-house built computer vision algorithm named as “Vision Genius”. Our computer vision enabled video analytics pipeline allowed for the analysis of the traffic videos from certain views and distance enabling for the localization and categorization of vehicles and
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Deep Learning Based Vehicle/Pedestrian Detection & Tracking System Real time detection and tracking of moving objects has the capability to revolutionized the efficiency of transportation system. Adaptive Traffic Signal Control, Real Time Ramp Metering, Traffic Signal Synchronization, Cooperative Control, Speed Advisory all can be derived effectively if, we can gather precise and accurate traffic data
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Pedestrian Behaviour Analysis through Computer Vision Pedestrian Posture detection and estimation is important need in modern world. From Autonomous Vehicles to Smart Cities Security and Surveillance System, it has vast application in modern world. Posture estimation algorithms are a subcategory of object detection algorithms where key points on a person’s body are identified. These points
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Real Time Adaptive Traffic Signal Control System Conventional Pretimed traffic signal has limitation to satisfy dynamic traffic demand. Adaptive traffic control system (ATCS) is a traffic management strategy in which traffic signal timing changes, or adapts, based on actual traffic demand. This is accomplished using an adaptive traffic control system consisting of both hardware and
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Signal Priority System for Emergency Vehicle First Aid time is an important factor in increasing the life expectancy at incident site. During the emergency conditions, quick response to Emergency Vehicles (EmV) creates a challenge for traffic operator to ensure safe and pacey passage of EmV, while maintaining the safe and smooth traffic flow in the
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