Abstract: Motion and video data from vehicle sensors and camera arrays attached to a vehicle collect video and sensor data along a path driven by the vehicle. A system processes such data to produce high-accuracy structured map data, as might be used to precisely locate a moving vehicle in its environment. Positions are calculated from the sensor data. The positions are updated based on the video data. Positions of features in the video are used to create or update structured map data.

Abstract: A sensor calibration system for calibrating a sensor system associated with a device under test and methods for making and using same. The sensor calibration system can include a turntable system for supporting and rotating the device under test relative to at least one calibration target system and one or more imaging systems distributed about a periphery of the turntable system. The calibration target system can comprise a calibration target device with calibration indicia and a calibration target positioning system for positioning the calibration target device relative to the sensor system; whereas, the imaging systems can capture an image of the device under test as the turntable system rotates the device under test. In selected embodiments, the calibration target system advantageously can calibrate sensor systems that support one or more Advanced Driver Assistance (ADAS) and Autonomous Vehicle (AV) applications when the sensor systems are associated with a passenger vehicle.

Abstract: An imaging system for low-power and low data-rate applications is provided. The imaging system comprises a pixel array having a plurality of photosensitive elements (pixels) divided into a plurality of groups of photosensitive elements (super pixels). An image processor is operably connected to the pixel array and configured to selectively operate each group of photosensitive elements in either (i) a high resolution mode in which the pixel array outputs readout voltages corresponding to all of the photosensitive elements in the respective group of photosensitive elements or (ii) a low resolution mode in which the pixel array outputs readout voltages corresponding to only a subset of the photosensitive elements in the respective group of photosensitive elements. Groups of photosensitive elements corresponding to detected motion in each image frame are operated in the high resolution mode, while the remaining groups of photosensitive elements are operated in the low resolution mode.

Abstract: A LiDAR system includes an optical transmitter, a scanner, a segmented optical detector including discrete sense nodes distributed along its length, and a controller. The optical transmitter can transmit a ranging signal via an optical component of the scanner. The scanner can change a position and/or orientation of the optical component after the ranging signal is transmitted. The segmented optical detector can receive the return signal corresponding to the ranging signal via the optical component after the change in the position and/or orientation of the optical component. The controller can detect a location of a return spot of the return signal based on outputs of the discrete sense nodes. The controller can determine a distance to an object that reflected the return signal based on the location of the return spot and a residual time of flight of the return signal.

Abstract: Motion and video data from vehicle sensors and camera arrays attached to a vehicle collect video and sensor data along a path driven by the vehicle. A system processes such data to produce high-accuracy structured map data, as might be used to precisely locate a moving vehicle in its environment. Positions are calculated from the sensor data. The positions are updated based on the video data. When loops in the vehicle path are detected, a loop closure error is calculated and used to update the positions as well as to reduce bias in the sensors when calculating future positions. Positions of features in the video are used to create or update structured map data.

Abstract: Motion and video data from vehicle sensors and camera arrays attached to a vehicle collect video and sensor data along a path driven by the vehicle. A system processes such data to produce high-accuracy structured map data, as might be used to precisely locate a moving vehicle in its environment. Positions are calculated from the sensor data. The positions are updated based on the video data. When loops in the vehicle path are detected, a loop closure error is calculated and used to update the positions as well as to reduce bias in the sensors when calculating future positions. Positions of features in the video are used to create or update structured map data.

Abstract: Motion and video data from vehicle sensors and camera arrays attached to a vehicle collect video and sensor data along a path driven by the vehicle. A system processes such data to produce high-accuracy structured map data, as might be used to precisely locate a moving vehicle in its environment. Positions are calculated from the sensor data. The positions are updated based on the video data. When loops in the vehicle path are detected, a loop closure error is calculated and used to update the positions as well as to reduce bias in the sensors when calculating future positions. Positions of features in the video are used to create or update structured map data.

Abstract: An imaging system for low-power and low data-rate applications is provided. The imaging system comprises a pixel array having a plurality of photosensitive elements (pixels) divided into a plurality of groups of photosensitive elements (super pixels). An image processor is operably connected to the pixel array and configured to selectively operate each group of photosensitive elements in either (i) a high resolution mode in which the pixel array outputs readout voltages corresponding to all of the photosensitive elements in the respective group of photosensitive elements or (ii) a low resolution mode in which the pixel array outputs readout voltages corresponding to only a subset of the photosensitive elements in the respective group of photosensitive elements. Groups of photosensitive elements corresponding to detected motion in each image frame are operated in the high resolution mode, while the remaining groups of photosensitive elements are operated in the low resolution mode.

Abstract: A system for identifying objects and events of interest uses one or more cameras with image processing capabilities. The system is includes multiple cameras configured to perform image processing of a scene from multiple angles to extract and transmit meta-data corresponding to objects or people in the scene. The cameras transmit the meta-data to a processing station that is configured to process the stream of data over time to detect objects and events of interest to alert monitoring personnel of objects or events in the scene.

Abstract: A system for identifying objects and events of interest uses one or more cameras with image processing capabilities. The system is includes multiple cameras configured to perform image processing of a scene from multiple angles to extract and transmit meta-data corresponding to objects or people in the scene. The cameras transmit the meta-data to a processing station that is configured to process the stream of data over time to detect objects and events of interest to alert monitoring personnel of objects or events in the scene.