Abstract: A system includes at least one processor configured to detect, based on point cloud information, portions of a particular object, and determine, based on the detected portions, at least a first portion having a first reflectivity corresponding to a license plate, and at least two additional spaced-apart portions corresponding to locations on the particular object other than a location of the first portion. The at least two additional portions have reflectivity substantially lower than the first reflectivity. The at least one processor is further configured to classify the particular object as a vehicle, based on a spatial relationship and a reflectivity relationship between the first portion and the at least two additional portions.

Abstract: Aspects of a storage device including a memory and a controller are provided, which allow for error detection or data integrity checking during data transfer of write operations and read operations. The controller may be configured to generate data integrity information based on at least one data byte to be written to the memory, and to transfer the at least one data byte contemporaneously with the data integrity information on separate data paths to the memory. The controller may be configured to select between transferring data bus inversion information or the data integrity information based on whether a data integrity protection mode is active between the memory and the controller. The memory may be configured to receive the at least one data byte and the data integrity information from the controller, and detect whether an error exists in the at least one data byte based on the data integrity information.

Abstract: A data storage device having improved protections for in-flight data during a safety event, such as an autonomous-driving-vehicle collision. In an example embodiment, in response to a distress-mode indication signal, the device controller operates to prioritize more-recent data with respect to older counterparts of the same data stream for flushing from the volatile-memory buffers to the non-volatile memory. In addition, the device controller may operate to positively bias the flushed data towards better survivability and/or more-reliable routing.

Abstract: Aspects of a storage device are provided which apply advanced thermal throttling in response to temperature changes based on multiple thermal power states for different types of cells, such as SLCs and MLCs. Initially, a controller determines that a temperature of the memory meets a thermal throttling threshold of a plurality of thermal throttling thresholds. Subsequently, the controller transitions into a thermal power state of a plurality of thermal power states when the temperature meets the thermal throttling threshold. The controller applies a thermal mitigation configuration associated with the thermal power state. The controller then determines that the temperature of the memory has reached a thermal equilibrium in the thermal power state based on the thermal mitigation configuration. Storage device performance is thus improved through advanced thermal throttling without compromising data integrity.

Abstract: Aspects of a storage device are provided that apply history-based prediction modeling in advanced thermal throttling. Initially, a controller determines a temperature prediction based one or more thermal mitigation parameters using a history-based prediction model. Subsequently, the controller determines whether the temperature prediction indicates that an actual temperature of the memory is expected to meet a thermal throttling threshold of a plurality of thermal throttling thresholds. The controller then transitions into a thermal power state of a plurality of thermal power states when the temperature prediction indicates that the actual temperature of the memory is expected to meet the thermal throttling threshold. The controller applies a thermal mitigation configuration associated with the thermal power state and determines that the temperature of the memory has reached a thermal equilibrium based on the thermal mitigation configuration.

Abstract: Aspects of a storage device are provided which apply advanced thermal throttling in response to temperature changes based on multiple thermal power states for different types of cells, such as SLCs and MLCs. Initially, a controller determines that a temperature of the memory meets a thermal throttling threshold of a plurality of thermal throttling thresholds. Subsequently, the controller transitions into a thermal power state of a plurality of thermal power states when the temperature meets the thermal throttling threshold. The controller applies a thermal mitigation configuration associated with the thermal power state. The controller then determines that the temperature of the memory has reached a thermal equilibrium in the thermal power state based on the thermal mitigation configuration. Storage device performance is thus improved through advanced thermal throttling without compromising data integrity.

Abstract: Aspects of a storage device are provided that apply history-based prediction modeling in advanced thermal throttling. Initially, a controller determines a temperature prediction based one or more thermal mitigation parameters using a history-based prediction model. Subsequently, the controller determines whether the temperature prediction indicates that an actual temperature of the memory is expected to meet a thermal throttling threshold of a plurality of thermal throttling thresholds. The controller then transitions into a thermal power state of a plurality of thermal power states when the temperature prediction indicates that the actual temperature of the memory is expected to meet the thermal throttling threshold. The controller applies a thermal mitigation configuration associated with the thermal power state and determines that the temperature of the memory has reached a thermal equilibrium based on the thermal mitigation configuration.

Abstract: Aspects of a storage device are provided that apply advanced thermal throttling with multi-tier extreme thermal throttling. Initially, a controller determines whether a first temperature measurement indicates that a temperature of the memory meets a first thermal threshold associated with a first-tier extreme thermal throttling or a second thermal threshold associated with a second-tier extreme thermal throttling. Subsequently, the controller enables the first-tier extreme thermal throttling when the temperature measurement indicates that the temperature of the memory meets the first thermal threshold, or the controller enables the second-tier extreme thermal throttling when the temperature measurement indicates that the temperature of the memory meets the second thermal threshold. The controller then determines whether a second temperature measurement indicates that the temperature of the memory has decreased to avoid thermal shutdown of the storage device.

Abstract: A vehicle-assistance system for classifying objects in a vehicle's surroundings. The system includes: at least one memory configured to store classification information for classifying a plurality of objects; and at least one processor configured to receive a plurality of detection results associated with light detection and ranging system (LIDAR) detection results, each detection result including location information, and further information indicative of at least two of the following detection characteristics: object surface reflectivity; temporal spreading of signal reflected from the object; object surface physical composition; ambient illumination measured at a LIDAR dead time; difference in detection information from a previous frame; and confidence level associated with another detection characteristic.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to receive a command, such as from a host device, to write data to the memory device, perform toggle mode (TM) encoding on the data, and send the TM encoded data to the memory device. The memory device is configured to receive the TM encoded data, decode the TM encoded data, and write the decoded data to a location within the memory device. The memory device is further configured to receive a read command to read data from a location within the memory device, read the data, TM encode the data, and send the TM encoded data to the controller. The controller is configured to receive and decode the TM encoded data, and send the decoded data to a host device.

Abstract: A LIDAR system for use in a vehicle is provided. The LIDAR system may include at least one processor configured to control at least one light source for illuminating a field of view and scan a field of view by controlling movement of at least one deflector at which the at least one light source is directed. The at least one processor may also be configured to receive, from at least one sensor, reflections signals indicative of light reflected from an object in the field of view. The at least one processor may further be configured to detect at least one temporal distortion in the reflections signals, and determine from the at least one temporal distortion an angular orientation of at least a portion of the object.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to receive a command, such as from a host device, to write data to the memory device, perform toggle mode (TM) encoding on the data, and send the TM encoded data to the memory device. The memory device is configured to receive the TM encoded data, decode the TM encoded data, and write the decoded data to a location within the memory device. The memory device is further configured to receive a read command to read data from a location within the memory device, read the data, TM encode the data, and send the TM encoded data to the controller. The controller is configured to receive and decode the TM encoded data, and send the decoded data to a host device.

Abstract: Methods and apparatus for precise power cycle management in data storage devices are provided. One such apparatus is a data storage device that includes a non-volatile memory (NVM) and a processor coupled to the NVM. In such case, the processor is configured to determine a first peak power for a first power phase, operate the DSD at a first DSD power consumption that is less than the first peak power for the first power phase, determine a second peak power for a second power phase based on a residual power equal to a difference between a preselected average power threshold and the first DSD power consumption, and operate the DSD at a second DSD power consumption that is less than the second peak power for the second power phase.

Abstract: The present disclosure provides systems and methods that use LIDAR technology. In one implementation, a LIDAR system includes at least one processor configured to: control activation of at least one light source for illuminating a field of view; receive from at least one sensor a reflection signal associated with an object in the field of view, a time lapse between light leaving the at least one light source and reflection impinging on the least one sensor constituting a time of flight; and alter an amplification parameter associated with the at least one sensor during the time of flight.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to receive a command, such as from a host device, to write data to the memory device, perform toggle mode (TM) encoding on the data, and send the TM encoded data to the memory device. The memory device is configured to receive the TM encoded data, decode the TM encoded data, and write the decoded data to a location within the memory device. The memory device is further configured to receive a read command to read data from a location within the memory device, read the data, TM encode the data, and send the TM encoded data to the controller. The controller is configured to receive and decode the TM encoded data, and send the decoded data to a host device.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to receive a command, such as from a host device, to write data to the memory device, perform toggle mode (TM) encoding on the data, and send the TM encoded data to the memory device. The memory device is configured to receive the TM encoded data, decode the TM encoded data, and write the decoded data to a location within the memory device. The memory device is further configured to receive a read command to read data from a location within the memory device, read the data, TM encode the data, and send the TM encoded data to the controller. The controller is configured to receive and decode the TM encoded data, and send the decoded data to a host device.

Abstract: A LIDAR system is provided. The LIDAR system may include at least one processor configured to: control at least one light deflector to deflect light from a plurality of light sources towards a region in a field of view while the at least one light deflector is in a particular instantaneous position; control the at least one light deflector such that while the at least one light deflector is at the particular instantaneous position, light reflections from the field of view are received on at least one common area along a plurality of return paths to at least one sensor; and receive from at least one of a plurality of light detectors included in the at least one sensor, signals associated with beam spots of the received light reflections, wherein each of the beam spots impinges on more than one of the plurality of light detectors.

Abstract: A vehicle-assistance system for classifying objects in a vehicle's surroundings is provided. The system may include at least one memory configured to store classification information for classifying a plurality of objects and at least one processor configured to receive, on a pixel-by-pixel basis, a plurality of measurements associated with LIDAR detection results. The measurements may include at least one of: a presence indication, a surface angle, object surface physical composition, and a reflectivity level. The at least one processor may also be configured to receive, on the pixel-by-pixel basis, at least one confidence level associated with each received measurement, and access the classification information. The at least one processor may further be configured to, based on the classification information and the received measurements with the at least one associated confidence level plurality, identify a of pixels as being associated with a particular object.

Abstract: Systems and methods use LIDAR technology.

Abstract: A vehicle-assistance system for classifying objects in a vehicle's surroundings is provided. The system may include at least one memory configured to store classification information for classifying a plurality of objects and at least one processor configured to receive, on a pixel-by-pixel basis, a plurality of measurements associated with LIDAR detection results. The measurements may include at least one of: a presence indication, a surface angle, object surface physical composition, and a reflectivity level. The at least one processor may also be configured to receive, on the pixel-by-pixel basis, at least one confidence level associated with each received measurement, and access the classification information. The at least one processor may further be configured to, based on the classification information and the received measurements with the at least one associated confidence level plurality, identify a of pixels as being associated with a particular object.