7.3 Emerging sensor technologies and fusion techniques
4 min read•july 30, 2024
Emerging sensor technologies are revolutionizing traffic monitoring. From infrared and acoustic sensors to LiDAR and advanced video analytics, these tools offer unprecedented insights into vehicle movements and traffic patterns. They're paving the way for smarter, more responsive transportation systems.
Sensor fusion takes this a step further, combining data from multiple sources for a more complete picture. This approach improves accuracy, reliability, and predictive capabilities, enabling real-time traffic management and supporting the development of and smart cities.
Emerging sensor technologies for traffic monitoring
Advanced detection methods
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Omron's New Super-Sensitive, Non-Contact MEMS Temp Sensor - Electronics-Lab.com View original
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FETT507-C SoM for Vehicle Monitoring and 360° Surround View System Optimization and Expansion ... View original
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Acoustic sensors – Australian Acoustic Observatory | A20 View original
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Omron's New Super-Sensitive, Non-Contact MEMS Temp Sensor - Electronics-Lab.com View original
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FETT507-C SoM for Vehicle Monitoring and 360° Surround View System Optimization and Expansion ... View original
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Top images from around the web for Advanced detection methods
Omron's New Super-Sensitive, Non-Contact MEMS Temp Sensor - Electronics-Lab.com View original
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FETT507-C SoM for Vehicle Monitoring and 360° Surround View System Optimization and Expansion ... View original
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Acoustic sensors – Australian Acoustic Observatory | A20 View original
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Omron's New Super-Sensitive, Non-Contact MEMS Temp Sensor - Electronics-Lab.com View original
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FETT507-C SoM for Vehicle Monitoring and 360° Surround View System Optimization and Expansion ... View original
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Infrared sensors detect vehicles and pedestrians using thermal radiation
Offer advantages in low-light conditions and inclement weather
Enable nighttime traffic monitoring and all-weather operation
Acoustic sensors measure sound waves produced by passing vehicles
Enable traffic flow analysis based on acoustic signatures
Reduces latency in traffic management applications
Improvements in safety through faster data processing
Enables quicker response to traffic incidents
Supports advanced driver assistance systems (ADAS)
Key Terms to Review (1)
Autonomous vehicles: Autonomous vehicles are self-driving cars or trucks that can operate without human intervention, using advanced technologies to navigate and make decisions. These vehicles rely on a combination of sensors, artificial intelligence, and data processing to interpret their surroundings and perform driving tasks, which connects to various components of transportation systems, emerging technologies, and policy considerations for the future.