| CPC B60Q 1/5037 (2022.05) [B60Q 1/52 (2013.01); B60Q 9/00 (2013.01); G06V 10/44 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 20/588 (2022.01); H04W 4/46 (2018.02); H04W 4/80 (2018.02); B60Q 2400/20 (2013.01)] | 19 Claims |
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1. A method for providing real-time traffic flow indication in a vehicle, the method comprising:
capturing, by an advanced sensor assembly comprising Time-of-Flight optical cameras, LIDAR, and FMCW radar systems, data about the vehicle's surroundings, including lane markings, vehicle positions, speeds, and distances;
detecting, by edge-based lane detection algorithms employing CNNs, lane boundaries based on the captured data;
analyzing, by real-time traffic analysis algorithms utilizing sensor fusion techniques, the traffic environment by integrating data from the advanced sensor assembly and the detected lane boundaries to assess vehicle positions, speeds, and overall traffic density;
representing, by color-coded light indicators on a rear window display and a front windshield display using PWM control, specific traffic scenarios based on the real-time traffic analysis;
communicating, by a V2V communication module using short-range wireless protocols, bidirectional transmission of lane-specific traffic information;
integrating, by a data fusion module equipped with DSPs sensor data with V2V communication for comprehensive traffic analysis;
processing, by an Intelligent Data Processing Algorithm, the integrated data to assess traffic conditions, including speed and traffic density, in real-time;
communicating, by a high-resolution LCD interface and a safety alert subsystem utilizing FPGAs the real-time traffic assessments and potential hazards to the driver; and
detecting, by an emergency vehicle detection and indicator system using machine vision algorithms, emergency vehicles within the vehicle's vicinity and activating specific LED indicators to alert the driver.
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