Car-embedded sensors (lidar and radar), GNSS, and potentially data from brakes, accelerator, steering wheel, etc.
Conductivity, Temperature, and Depth (CTD) Sensors: These are widely used in oceanography. CTD sensors measure conductivity (to infer salinity), temperature, and depth simultaneously, providing comprehensive data essential for climate change studies.
Depending on the application, different types of cameras are used for surveillance. Visual cameras are used for capturing images during daylight, while a thermal camera may be used for night vision, seeing through smoke or fog, vegetation monitoring, fire and heat detection using infrared patterns, etc. Data may be streamed directly from the UAV via a secure communications channel to a remote central location.
Digital Temperature Sensors: Placed in various parts of a rainforest, these sensors can provide detailed temperature data, helping to detect and analyze sudden temperature variations.
Driverless vehicles and Autonomous Drilling Systems that can operate without human intervention allow operations around the clock, enabling minerals to be extracted and processed in shorter time-frames. Real-Time Kinematic GPS (RTK-GPS) is used In underground mines due to a limited range of signal transmission below the surface and lack of satellite coverage in depth. RTK-GPS is used to ensure autonomous vehicles and drilling systems have clear path-tracking and collision avoidance capabilities. GPS-guided drilling operations. GPS provides accurate information to the drill head to control its direction deep within the earth.
Drones equipped with mobile communication link for C&C between the vehicle and a ground control station
If a speaker has been installed in the UAV, voice messages from the disaster coordination base can be delivered to disaster victims via the cellular network, while the voice of victims can be picked up using the microphone mounted on the UA, and relayed back to the disaster coordination base.
Infrared Thermal Imaging: Used to map urban heat islands from a distance, often from airborne platforms or satellites. Networks of Digital Temperature Sensors: Deployed across different urban areas, these sensors can provide granular temperature data, highlighting variations within a city. Weather Stations: Often used in urban settings, weather stations can provide comprehensive environmental data, including temperature, which is crucial for studying urban heat island effects.
Monitoring emissions from factories in real-time involves a variety of sensors and instruments designed to measure different types of pollutants. These sensors are often networked together and connected to a central monitoring system that collects, analyzes, and reports data in real time. This enables factory operators and regulatory agencies to track emissions continuously and ensure compliance with environmental regulations, as well as to make informed decisions about emission control and reduction strategies. Gas Analyzers: These sensors are used to detect and quantify specific gases in the air, such as carbon dioxide (CO2), sulfur dioxide (SO2), nitrogen oxides (NOx), and volatile organic compounds (VOCs). Particulate Matter (PM) Sensors: These sensors measure the concentration of particulate matter in the air. Opacity Monitors: These are used to measure the opacity of emissions from smokestacks, which is an indicator of particulate matter concentrations. Flame Ionization Detectors (FID): FIDs are used to measure total hydrocarbon levels in emissions. FTIR (Fourier Transform Infrared Spectroscopy) Analyzers: These analyzers can detect a wide range of gases and are particularly useful for identifying complex mixtures of pollutants. UV Spectrometers: Ultraviolet spectrometry can be used to measure specific gases like ozone (O3) and sulfur dioxide (SO2) based on their absorption characteristics in the UV range. Chemical Sensors and Biosensors: These are used to detect and measure specific chemical compounds in emissions. Temperature, Pressure, and Flow Sensors: These sensors provide additional data on the emission conditions, such as the temperature and pressure of the emitted gases and the flow rate of emissions.
Rain Gauges: Modern rain gauges often come equipped with wireless communication capabilities, allowing them to transmit data on rainfall amounts to monitoring centers in real time. Stream Gauges: Many stream gauges are designed to wirelessly transmit data on water levels and flow rates, providing crucial information for flood forecasting.Soil Moisture Sensors: These sensors can be equipped with wireless communication to send soil moisture data to a central system, which helps in assessing the risk of flooding, especially in areas prone to flash floods. Pressure Transducers: Used in various water bodies, these sensors can wirelessly transmit water pressure data, which is then used to calculate water levels. Ultrasonic Sensors: These can be set up to measure water levels and then transmit the data wirelessly to a central monitoring system. Anemometers: Modern anemometers can send wind data wirelessly to meteorological centers, contributing to broader weather pattern analysis for flood prediction. Tide Gauges: In coastal areas, tide gauges equipped with wireless communication capabilities transmit sea level data, which is crucial for predicting storm surges and coastal floods.
Sensor information (e.g., LIDAR, RADARs), vehicle Status (e.g., speed) and video streaming images (e.g., two cameras (front, end))
Sensors based on radar, visual or infrared technology integrated into the road infrastructure. The sensors detect approaching road users and signal this to the road users by visual and audio warnings.
To sense the environment, AVs use a combination of sensors:・External sensors (GNSS, cameras, lidars etc)・Internal automotive sensors and actuators (brakes, steering wheel, accelerator, etc)
UAV generally carries a video camera and other sensors such as laser scanner, GNSS, gyroscope,accelerometer, and barometer. Streaming the video and other sensor data to a remote location for instant storage, verification and analysis allows the survey team to gauge whether additional data needs to be collected.
Wind Sensors (Anemometers): measure wind speed and direction, key factors in sandstorm formation. By understanding wind patterns, it becomes easier to predict the movement and intensity of sandstorms.
