Abstract: Encoding methods based on erasure code are disclosed, and a distributed system, a device and a storage medium are provided. The method comprises: acquiring K data blocks of data to be processed; dividing the K data blocks into L data groups, wherein each data group at least comprises K encoding parameters respectively corresponding to the K data blocks, and K and L are integers greater than 1; and for each data group, performing encoding by using at least part of data blocks in other data groups and encoding parameters, which correspond to the at least part of data blocks, in the present data group, to generate a local reconstruction parity block of the present data group. The data groups and the local reconstruction parity blocks are stored in data nodes of a distributed system.

Abstract: A parity block generation method and apparatus. The method comprises: for a plurality of original data blocks for which parity blocks are to be generated, determining (102) a global coding matrix for the plurality of original data blocks; for each local domain that is obtained by dividing the plurality of original data blocks, determining (104) a local coding matrix of the local domain on the basis of the global coding matrix, wherein each local domain comprises original data blocks that belong to the local domain; and generating (106), on the basis of the global coding matrix, global parity blocks for the plurality of original data blocks, and generating, on the basis of the local coding matrix of each local domain, a local reconstruction parity block of each local domain, such that the global parity blocks have a derivation relationship with the local reconstruction parity block of each local domain.

Abstract: Among other things, we describe systems and method for validating sensor calibration. For validating calibration of a system of sensors having several types of sensors, an object may be configured to have a substantially reflective portion such that the sensors can isolate the substantially reflective portion, and their sensor data can be compared to determine, if the detected locations of the substantially reflective portion by each sensor are aligned. For calibrating a system of sensors, an object having known calibration features can be used and detected by each sensor, and the detected data can be compared to known calibration data associated with the object to determine if each sensor is correctly calibrated.

Abstract: An operation-security system for an automated vehicle includes an object-detector and a controller. The object-detector includes at least three sensors. Each sensor is one of a camera used to determine an image-location of an object proximate to a host-vehicle, a lidar-unit used to determine a lidar-location of the object proximate to the host-vehicle, and a radar-unit used to determine a radar-location of the object proximate to the host-vehicle. The controller is in communication with the at least three sensors. The controller is configured to determine a composite-location based on a comparison of locations indicated by the at least three sensors. Information from one sensor is ignored when a respective location indicated by the one sensor differs from the composite-location by greater than an error-threshold. If a remote sensor not on the host-vehicle is used, V2V or V2I communications may be used to communicate a location to the host-vehicle.

Abstract: A sensor data fusion system for a vehicle with multiple sensors includes a first-sensor, a second-sensor, and a controller-circuit. The first-sensor is configured to output a first-frame of data and a subsequent-frame of data indicative of objects present in a first-field-of-view. The first-frame is characterized by a first-time-stamp, the subsequent-frame of data characterized by a subsequent-time-stamp different from the first-time-stamp. The second-sensor is configured to output a second-frame of data indicative of objects present in a second-field-of-view that overlaps the first-field-of-view. The second-frame is characterized by a second-time-stamp temporally located between the first-time-stamp and the subsequent-time-stamp. The controller-circuit is configured to synthesize an interpolated-frame from the first-frame and the subsequent-frame. The interpolated-frame is characterized by an interpolated-time-stamp that corresponds to the second-time-stamp.

Abstract: An operating system for an automated vehicle includes a failure-detector and a controller. The failure-detector detects a component-failure on a host-vehicle. Examples of the component-failure include a flat-tire and engine trouble that reduces engine-power. The controller operates the host-vehicle based on a dynamic-model. The dynamic-model is varied based on the component-failure detected by the failure-detector.

Abstract: A scenario aware perception system (10) suitable for use on an automated vehicle includes a traffic-scenario detector (14), an object-detection device (24), and a controller (32). The traffic-scenario detector (14) is used to detect a present-scenario (16) experienced by a host-vehicle (12). The object-detection device (24) is used to detect an object (26) proximate to the host-vehicle (12). The controller (32) is in communication with the traffic-scenario detector (14) and the object-detection device (24). The controller (32) configured to determine a preferred-algorithm (36) used to identify the object (26). The preferred-algorithm (36) is determined based on the present-scenario (16).

Abstract: A sensor data fusion system for a vehicle with multiple sensors includes a first-sensor, a second-sensor, and a controller-circuit. The first-sensor is configured to output a first-frame of data and a subsequent-frame of data indicative of objects present in a first-field-of-view. The first-frame is characterized by a first-time-stamp, the subsequent-frame of data characterized by a subsequent-time-stamp different from the first-time-stamp. The second-sensor is configured to output a second-frame of data indicative of objects present in a second-field-of-view that overlaps the first-field-of-view. The second-frame is characterized by a second-time-stamp temporally located between the first-time-stamp and the subsequent-time-stamp. The controller-circuit is configured to synthesize an interpolated-frame from the first-frame and the subsequent-frame. The interpolated-frame is characterized by an interpolated-time-stamp that corresponds to the second-time-stamp.

Abstract: Among other things, we describe systems and method for validating sensor calibration. For validating calibration of a system of sensors having several types of sensors, an object may be configured to have a substantially reflective portion such that the sensors can isolate the substantially reflective portion, and their sensor data can be compared to determine, if the detected locations of the substantially reflective portion by each sensor are aligned. For calibrating a system of sensors, an object having known calibration features can be used and detected by each sensor, and the detected data can be compared to known calibration data associated with the object to determine if each sensor is correctly calibrated.

Abstract: A detection system includes a first-sensor, a second-sensor, and a controller. The first-sensor is mounted on a host-vehicle. The first-sensor detects objects in a first-field-of-view. The second-sensor is positioned at a second-location different than the first-location. The second-sensor detects objects in a second-field-of-view that at least partially overlaps the first-field of view. The controller is in communication with the first-sensor and the second-sensor. The controller selects the second-sensor to detect an object-of-interest in accordance with a determination that an obstruction blocks a first-line-of-sight between the first-sensor and the object-of-interest.

Abstract: Among other things, we describe systems and method for validating sensor calibration. For validating calibration of a system of sensors having several types of sensors, an object may be configured to have a substantially reflective portion such that the sensors can isolate the substantially reflective portion, and their sensor data can be compared to determine, if the detected locations of the substantially reflective portion by each sensor are aligned. For calibrating a system of sensors, an object having known calibration features can be used and detected by each sensor, and the detected data can be compared to known calibration data associated with the object to determine if each sensor is correctly calibrated.

Abstract: A sensor data fusion system for a vehicle with multiple sensors includes a first-sensor, a second-sensor, and a controller-circuit. The first-sensor is configured to output a first-frame of data and a subsequent-frame of data indicative of objects present in a first-field-of-view. The first-frame is characterized by a first-time-stamp, the subsequent-frame of data characterized by a subsequent-time-stamp different from the first-time-stamp. The second-sensor is configured to output a second-frame of data indicative of objects present in a second-field-of-view that overlaps the first-field-of-view. The second-frame is characterized by a second-time-stamp temporally located between the first-time-stamp and the subsequent-time-stamp. The controller-circuit is configured to synthesize an interpolated-frame from the first-frame and the subsequent-frame. The interpolated-frame is characterized by an interpolated-time-stamp that corresponds to the second-time-stamp.

Abstract: An operation-security system for an automated vehicle includes an object-detector and a controller. The object-detector includes at least three sensors. Each sensor is one of a camera used to determine an image-location of an object proximate to a host-vehicle, a lidar-unit used to determine a lidar-location of the object proximate to the host-vehicle, and a radar-unit used to determine a radar-location of the object proximate to the host-vehicle. The controller is in communication with the at least three sensors. The controller is configured to determine a composite-location based on a comparison of locations indicated by the at least three sensors. Information from one sensor is ignored when a respective location indicated by the one sensor differs from the composite-location by greater than an error-threshold. If a remote sensor not on the host-vehicle is used, V2V or V2I communications may be used to communicate a location to the host-vehicle.

Abstract: A steering-system for an automated vehicle is provided. The system includes an object-detector and a controller. The object-detector indicates a height and/or a width of an object approached by a host-vehicle. The controller is configured to steer the host-vehicle and is in communication with the object-detector. The controller steers the host-vehicle to straddle the object when the height of the object is less than a ground-clearance of the host-vehicle, and/or the width of the object is less than a track-width of the host-vehicle.

Abstract: An operation-security system for an automated vehicle includes an object-detector and a controller. The object-detector includes at least three sensors. Each sensor is one of a camera used to determine an image-location of an object proximate to a host-vehicle, a lidar-unit used to determine a lidar-location of the object proximate to the host-vehicle, and a radar-unit used to determine a radar-location of the object proximate to the host-vehicle. The controller is in communication with the at least three sensors. The controller is configured to determine a composite-location based on a comparison of locations indicated by the at least three sensors. Information from one sensor is ignored when a respective location indicated by the one sensor differs from the composite-location by greater than an error-threshold. If a remote sensor not on the host-vehicle is used, V2V or V2I communications may be used to communicate a location to the host-vehicle.

Abstract: A radar system for an automated vehicle includes a digital-map, a radar, and a controller. The digital-map indicates a characteristic of a roadway traveled by a host-vehicle. The radar detects objects proximate to the host-vehicle. The radar is equipped with a range-setting that is selectively variable. The controller is in communication with the digital-map and the radar. The controller is configured to select the range-setting of the radar based on the characteristic of the roadway. The characteristic may be based on speed-limit, road-shape (e.g. curve-radius), a horizon-distance, and/or an obstruction (e.g. hill, sign, or building). The radar may be equipped with a frame-rate-setting (i.e. pulse repetition frequency or PRF) that is selectively variable, and the controller may be further configured to select the frame-rate-setting based on the characteristic of the roadway.

Abstract: A system for operating an autonomous vehicle includes a passenger-detector and a controller-circuit. The passenger-detector is operable to determine a passenger-count of passengers present in a host-vehicle. The controller-circuit is in communication with the passenger-detector and vehicle-controls of the host-vehicle. The controller-circuit is configured to operate the host-vehicle in an autonomous-mode and in accordance with a parameter. The parameter is set to an empty-value when passenger-count is equal to zero, and the parameter is set to an occupied-value different from the empty-value when the passenger count is greater than zero.

Abstract: An operating system for an automated vehicle includes a failure-detector and a controller. The failure-detector detects a component-failure on a host-vehicle. Examples of the component-failure include a flat-tire and engine trouble that reduces engine-power. The controller operates the host-vehicle based on a dynamic-model. The dynamic-model is varied based on the component-failure detected by the failure-detector.

Abstract: A system for operating an automated vehicle in a crowd of pedestrians includes an object-detector, optionally, a signal detector, and a controller. The object-detector detects pedestrians proximate to a host-vehicle. The signal-detector detects a signal-state displayed by a traffic-signal that displays a stop-state that indicates when the host-vehicle should stop so the pedestrians can cross in front of the host-vehicle, and displays a go-state that indicates when the pedestrians should stop passing in front of the host-vehicle so that the host-vehicle can go forward. The controller is in control of movement of the host-vehicle and in communication with the object-detector and the signal-detector. The controller operates the host-vehicle to stop the host-vehicle when the stop-state is displayed, and operates the host-vehicle to creep-forward after a wait-interval after the traffic-signal changes to the go-state when the pedestrians fail to stop passing in front of the host-vehicle.

Abstract: A safe-to-proceed system (10) for operating an automated vehicle proximate to an intersection (14) includes an intersection-detector (18), a vehicle-detector (20), and a controller (24). The intersection-detector (18) is suitable for use on a host-vehicle (12). The intersection-detector (18) is used to determine when a host-vehicle (12) is proximate to an intersection (14). The vehicle-detector (20) is also suitable for use on the host-vehicle (12). The vehicle-detector (20) is used to estimate a stopping-distance (22) of an other-vehicle (16) approaching the intersection (14). The controller (24) is in communication with the intersection-detector (18) and the vehicle-detector (20). The controller (24) is configured to prevent the host-vehicle (12) from entering the intersection (14) when the stopping-distance (22) indicates that the other-vehicle (16) will enter the intersection (14) before stopping.