Abstract: A traffic signal analysis system for an autonomous vehicle (AV) can receive image data from one or more cameras, the image data including an upcoming traffic signaling system located at an intersection. The system can determine an action for the AV through the intersection and access a matching signal map specific to the upcoming traffic signaling system. Using the matching signal map, the system can generate a signal template for the upcoming traffic signaling system and determine a first subset and a second subset of the plurality of traffic signal faces that apply to the action. The system can dynamically analyze the first subset and the second subset to determine a state of the upcoming traffic signaling system for the action, and generate an output for the AV indicating the state of the upcoming traffic signaling system for the action.

Abstract: Hyperspectral imaging spectrometers have applications in environmental monitoring, biomedical imaging, surveillance, biological or chemical hazard detection, agriculture, and minerology. Nevertheless, their high cost and complexity has limited the number of fielded spaceborne hyperspectral imagers. To address these challenges, the wide field-of-view (FOV) hyperspectral imaging spectrometers disclosed here use computational imaging techniques to get high performance from smaller, noisier, and less-expensive components (e.g., uncooled microbolometers). They use platform motion and spectrally coded focal-plane masks to temporally modulate the optical spectrum, enabling simultaneous measurement of multiple spectral bins. Demodulation of this coded pattern returns an optical spectrum in each pixel.

Abstract: Hyperspectral imaging spectrometers have applications in environmental monitoring, biomedical imaging, surveillance, biological or chemical hazard detection, agriculture, and minerology. Nevertheless, their high cost and complexity has limited the number of fielded spaceborne hyperspectral imagers. To address these challenges, the wide field-of-view (FOV) hyperspectral imaging spectrometers disclosed here use computational imaging techniques to get high performance from smaller, noisier, and less-expensive components (e.g., uncooled microbolometers). They use platform motion and spectrally coded focal-plane masks to temporally modulate the optical spectrum, enabling simultaneous measurement of multiple spectral bins. Demodulation of this coded pattern returns an optical spectrum in each pixel.

Abstract: A system to use submaps to control operation of a vehicle is disclosed. A storage system may be provided with a vehicle to store a collection of submaps that represent a geographic area where the vehicle may be driven. A programmatic interface may be provided to receive submaps and submap updates independently of other submaps.

Abstract: A system to use submaps to control operation of a vehicle is disclosed. A storage system may be provided with a vehicle to store a collection of submaps that represent a geographic area where the vehicle may be driven. A programmatic interface may be provided to receive submaps and submap updates independently of other submaps.

Abstract: A traffic signal analysis system for an autonomous vehicle can receive image data from one or more cameras, the image data including an upcoming traffic signaling system located at an intersection. The system can determine an action for the AV through the intersection and access a matching signal map specific to the upcoming traffic signaling system. Using the matching signal map, the system can generate a signal template for the upcoming traffic signaling system and determine a first subset and a second subset of the plurality of traffic signal faces that apply to the action. The system can dynamically analyze the first subset and the second subset to determine a state of the upcoming traffic signaling system for the action, and generate an output for the AV indicating the state of the upcoming traffic signaling system for the action.

Abstract: A system to use submaps to control operation of a vehicle is disclosed. A storage system may be provided with a vehicle to store a collection of submaps that represent a geographic area where the vehicle may be driven. A programmatic interface may be provided to receive submaps and submap updates independently of other submaps.

Abstract: A traffic signal analysis system for an autonomous vehicle (AV) can receive image data from one or more cameras, the image data including an upcoming traffic signaling system located at an intersection. The system can determine an action for the AV through the intersection and access a matching signal map specific to the upcoming traffic signaling system. Using the matching signal map, the system can generate a signal template for the upcoming traffic signaling system and determine a first subset and a second subset of the plurality of traffic signal faces that apply to the action. The system can dynamically analyze the first subset and the second subset to determine a state of the upcoming traffic signaling system for the action, and generate an output for the AV indicating the state of the upcoming traffic signaling system for the action.

Abstract: A traffic signal analysis system for an autonomous vehicle can receive image data from one or more cameras, the image data including an upcoming traffic signaling system located at an intersection. The system can determine an action for the AV through the intersection and access a matching signal map specific to the upcoming traffic signaling system. Using the matching signal map, the system can generate a signal template for the upcoming traffic signaling system and determine a first subset and a second subset of the plurality of traffic signal faces that apply to the action. The system can dynamically analyze the first subset and the second subset to determine a state of the upcoming traffic signaling system for the action, and generate an output for the AV indicating the state of the upcoming traffic signaling system for the action.

Abstract: A traffic signal analysis system can receive image data from one or more cameras of an autonomous vehicle, where the image data includes a traffic signaling system located at an intersection. The traffic signal analysis system can determine a pass-through action for the autonomous vehicle through the intersection, and access a matching signal map that includes characteristic information indicating properties of the traffic signaling system. Based on the characteristic information and the image data, the traffic signal analysis system can identify a state of the traffic signaling system for the pass-through action, and generate an output for the autonomous vehicle indicating the state of the traffic signaling system for the pass-through action.

Abstract: A system to use submaps to control operation of a vehicle is disclosed. A storage system may be provided with a vehicle to store a collection of submaps that represent a geographic area where the vehicle may be driven. A programmatic interface may be provided to receive submaps and submap updates independently of other submaps.

Abstract: A system to use submaps to control operation of a vehicle is disclosed. A storage system may be provided with a vehicle to store a collection of submaps that represent a geographic area where the vehicle may be driven. A programmatic interface may be provided to receive submaps and submap updates independently of other submaps.

Abstract: A system to use submaps to control operation of a vehicle is disclosed. A storage system may be provided with a vehicle to store a collection of submaps that represent a geographic area where the vehicle may be driven. A programmatic interface may be provided to receive submaps and submap updates independently of other submaps.

Abstract: A traffic signal analysis system can receive image data from one or more cameras of an autonomous vehicle, where the image data includes a traffic signaling system located at an intersection. The traffic signal analysis system can determine a pass-through action for the autonomous vehicle through the intersection, and access a matching signal map that includes characteristic information indicating properties of the traffic signaling system. Based on the characteristic information and the image data, the traffic signal analysis system can identify a state of the traffic signaling system for the pass-through action, and generate an output for the autonomous vehicle indicating the state of the traffic signaling system for the pass-through action.