Patent classifications
G01S13/86
ASSISTED VEHICLE OPERATION WITH IMPROVED OBJECT DETECTION
A vehicle control system includes a camera configured to capture image data depicting a field of view proximate the vehicle is disclosed. The vehicle control system further includes a plurality of light sources in connection with the vehicle and a controller. The controller is configured to activate a plurality of lights in an alternating pattern and capture light reflected from at least one object with the camera at a time and corresponding to the alternating pattern of the plurality of lights. In response to variations in the light impinging upon the at least one object from the alternating pattern, the controller is configured to identify a distance of the object.
FORWARD DEPLOYED SENSOR SYSTEM
Generally, the present disclosure relates to a forward deployed sensor system or, in a specific embodiment, a forward deployed radar (FDR) system. The forward deployed sensor system includes a radar system and may also include other types of sensors such as optical sensors, acoustic sensors including sonar, and electromagnetic sensors. Further, the forward deployed sensor system may also include a communication system such as a full spectrum receiver/transmitter, a ship to ship relay transponder, a satellite communication system, and global positioning system (GPS) capability. The forward deployed sensor system is able to detect objects in the air, on the sea, and underwater, and communicate such detection to a ship, submarine, aircraft, satellite, or other remote location. Such systems may be used to augment the protection of shipping lanes by military or security forces to allow for peaceful commerce and utility of the sea by all nations.
FORWARD DEPLOYED SENSOR SYSTEM
Generally, the present disclosure relates to a forward deployed sensor system or, in a specific embodiment, a forward deployed radar (FDR) system. The forward deployed sensor system includes a radar system and may also include other types of sensors such as optical sensors, acoustic sensors including sonar, and electromagnetic sensors. Further, the forward deployed sensor system may also include a communication system such as a full spectrum receiver/transmitter, a ship to ship relay transponder, a satellite communication system, and global positioning system (GPS) capability. The forward deployed sensor system is able to detect objects in the air, on the sea, and underwater, and communicate such detection to a ship, submarine, aircraft, satellite, or other remote location. Such systems may be used to augment the protection of shipping lanes by military or security forces to allow for peaceful commerce and utility of the sea by all nations.
Multi-model switching on a collision mitigation system
Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes receiving data indicative of an operating mode of the vehicle, wherein the vehicle is configured to operate in a plurality of operating modes. The method includes determining one or more response characteristics of the vehicle based at least in part on the operating mode of the vehicle, each response characteristic indicating how the vehicle responds to a potential collision. The method includes controlling the vehicle based at least in part on the one or more response characteristics.
Apparatus and method for authenticating object in electronic device
In accordance with an aspect of the disclosure, an electronic device is provided. The electronic device comprises an antenna array, a wireless communication module electrically connected to the antenna array and configured to form directional beams through the antenna array, at least one processor operatively connected to the wireless communication module; and a memory operatively connected to the at least one processor. The memory stores instructions causing the at least one processor to perform a plurality of operations comprising: transmitting a sequence of first directional beams having a first beam width to scan first regions having a first size through the antenna array, receiving a sequence of first reflected waves generated by reflection of the sequence of the first directional beams from an object through the antenna array, transmitting a sequence of second directional beams having a second beam width narrower than the first beam width to scan second regions, which are included in the first regions and have a second size smaller than the first size, through the antenna array based on at least a portion of the received sequence of the first reflected waves, receiving a sequence of second reflected waves generated by reflection of the sequence of the second directional beams from the object through the antenna array, and authenticating the object based on at least a portion of the sequence of the second reflected waves.
NON-INVASIVE METHOD AND DEVICE TO MEASURE THE FLOW RATE OF A RIVER, OPEN CHANNEL OR FLUID FLOWING IN AN UNDERGROUND PIPE OR CHANNEL
A non-invasive microwave measuring device (01) is for calculating the flow rate of a fluid. The device (01) includes a non-invasive microwave fluid velocity measuring device (03) having a patch antenna or horn antenna to generate a microwave signal (14) that is transmitted at a specific elevation angle α towards the fluid surface (16) and to receive the reflected microwave signal (15) from the fluid surface (16) with a doppler shift frequency. The measuring device (03) is suspended from a drone (02) by a suspension system (04). The suspension system (04) eliminates vibration noise generated by the drone (02). At least one vibration sensor eliminates false velocity readings. At least one angle sensor compensates for Pitch, Roll and Yaw from the drone (02) that influence the fluid surface velocity measurement.
PRIVACY-PRESERVING RADAR-BASED FALL MONITORING
Various arrangements for performing fall detection are presented. A smart-home device (110, 201), comprising a monolithic radar integrated circuit (205), may transmit radar waves. Based on reflected radar waves, raw waveform data may be created. The raw waveform data may be processed to determine that a fall by a person (101) has occurred. Speech may then be output announcing that the fall has been detected via the speaker (217) of the smart home device (110, 201).
Semantic segmentation of radar data
Systems, methods, tangible non-transitory computer-readable media, and devices associated with sensor output segmentation are provided. For example, sensor data can be accessed. The sensor data can include sensor data returns representative of an environment detected by a sensor across the sensor's field of view. Each sensor data return can be associated with a respective bin of a plurality of bins corresponding to the field of view of the sensor. Each bin can correspond to a different portion of the sensor's field of view. Channels can be generated for each of the plurality of bins and can include data indicative of a range and an azimuth associated with a sensor data return associated with each bin. Furthermore, a semantic segment of a portion of the sensor data can be generated by inputting the channels for each bin into a machine-learned segmentation model trained to generate an output including the semantic segment.
System and method for robust automatic control of the air-conditioning system in a vehicle
A system and method for robust automatic control of an air-conditioning system in a vehicle includes at least one sensor configured to continuously capture technical driving parameters of the vehicle. The system has a computing unit configured to determine a current air quality from the captured technical driving parameters by way of a suitable algorithm. The system has a control unit configured to control the air-conditioning system in the vehicle, wherein the control of the air-conditioning system includes activating the recirculation circuit of the air-conditioning system and/or activating the fresh-air circuit of the air-conditioning system with reference to the determined air quality.
System and method for robust automatic control of the air-conditioning system in a vehicle
A system and method for robust automatic control of an air-conditioning system in a vehicle includes at least one sensor configured to continuously capture technical driving parameters of the vehicle. The system has a computing unit configured to determine a current air quality from the captured technical driving parameters by way of a suitable algorithm. The system has a control unit configured to control the air-conditioning system in the vehicle, wherein the control of the air-conditioning system includes activating the recirculation circuit of the air-conditioning system and/or activating the fresh-air circuit of the air-conditioning system with reference to the determined air quality.