Abstract:
Disclosed are techniques for employing deep learning to analyze radar signals. In an aspect, an on-board computer of a host vehicle receives, from a radar sensor of the vehicle, a plurality of radar frames, executes a neural network on a subset of the plurality of radar frames, and detects one or more objects in the subset of the plurality of radar frames based on execution of the neural network on the subset of the plurality of radar frames. Further, techniques for transforming polar coordinates to Cartesian coordinates in a neural network are disclosed. In an aspect, a neural network receives a plurality of radar frames in polar coordinate space, a polar-to-Cartesian transformation layer of the neural network transforms the plurality of radar frames to Cartesian coordinate space, and the neural network outputs the plurality of radar frames in the Cartesian coordinate space.
Abstract:
Methods of processing vehicle sensor information for object detection may include capturing generating a feature map based on captured sensor information, associating with each pixel of the feature map a prior box having a set of two or more width priors and a set of two or more height priors, determining a confidence value of each height prior and each width prior, outputting an indication of a detected object based on a highest confidence height prior and a highest confidence width prior, and performing a vehicle operation based on the output indication of a detected object. Embodiments may include determining for each pixel of the feature map one or more prior boxes having a center value, a size value, and a set of orientation priors, determining a confidence value for each orientation prior, and outputting an indication of the orientation of a detected object based on the highest confidence orientation.
Abstract:
The present disclosure provides methods and apparatuses for multi-carrier transmissions over adjacent channels that reduce self-jamming due to asymmetric interference. In an aspect, a large bandwidth load-base equipment (LBE) carrier may be provided such that CCA is performed jointly over the entire bandwidth. In another aspect, additional CCA timeslots may be used to synchronize the two carriers. In a further aspect, an extended CCA may be performed on a primary unlicensed carrier while a simple CCA may be performed on a secondary unlicensed carrier. In yet another aspect, LBE may be deployed on some carriers while frame-base equipment (FBE) may be deployed on other carriers.
Abstract:
Disclosed are techniques for fusing camera and radar frames to perform object detection in one or more spatial domains. In an aspect, an on-board computer of a host vehicle receives, from a camera sensor of the host vehicle, a plurality of camera frames, receives, from a radar sensor of the host vehicle, a plurality of radar frames, performs a camera feature extraction process on a first camera frame of the plurality of camera frames to generate a first camera feature map, performs a radar feature extraction process on a first radar frame of the plurality of radar frames to generate a first radar feature map, converts the first camera feature map and/or the first radar feature map to a common spatial domain, and concatenates the first radar feature map and the first camera feature map to generate a first concatenated feature map in the common spatial domain.
Abstract:
Disclosed are techniques for fusing camera and radar frames to perform object detection in one or more spatial domains. In an aspect, an on-board computer of a host vehicle receives, from a camera sensor of the host vehicle, a plurality of camera frames, receives, from a radar sensor of the host vehicle, a plurality of radar frames, performs a camera feature extraction process on a first camera frame of the plurality of camera frames to generate a first camera feature map, performs a radar feature extraction process on a first radar frame of the plurality of radar frames to generate a first radar feature map, converts the first camera feature map and/or the first radar feature map to a common spatial domain, and concatenates the first radar feature map and the first camera feature map to generate a first concatenated feature map in the common spatial domain.
Abstract:
Apparatuses and methods for special subframe configuration in unlicensed spectrum are disclosed. For example, the disclosure presents an example method including identifying a time period for an extended clear channel assessment (ECCA) operation. Further, the example method may include determining a guard period portion included in a special subframe of a frame structure based on the identified time period. An apparatus may include means for identifying a time period for an extended clear channel assessment (ECCA) operation. Further, the example apparatus may include means for determining a guard period portion included in a special subframe of a frame structure based on the identified time period.
Abstract:
A method performed by an apparatus is described. The method includes receiving map data that is based on first image data, second image data, and a similarity metric. The first image data can be received from a first vehicle and represent an object. The second image data can be received from a second vehicle and represent the object. The similarity metric can be associated with the object represented in the first image data and the object represented in the second image data. The method can also include storing, by a vehicle, the received map data and localizing the vehicle based on the stored map data.
Abstract:
Disclosed are techniques for determining a motion state of a target object. In an aspect, an on-board computer of an ego vehicle detects the target object in one or more images, determines one or more first attributes of the target object based on measurements of the one or more images, determines one or more second attributes of the target object based on measurements of a map of a roadway on which the target object is travelling, and determines the motion state of the target object based on the one or more first attributes and the one or more second attributes of the target object.
Abstract:
Various aspects related to techniques for harmonization between common reference signal (CRS) and demodulation reference signal (DM-RS) based transmission modes (TMs) in unlicensed spectrum are described. In one aspect, a downlink/uplink (DL/UL) subframe configuration may be signaled for each subframe. Information provided by the DL/UL subframe configuration may indicate whether the respective downlink subframe is a single-frequency network (MBSFN) subframe (associated with DM-RS-based TM) or a non-MBSFN subframe (associated with CRS-based TM). In another aspect, periodic as well as aperiodic channel state information (CSI) reporting requests may be supported. In yet another aspect, discontinued reception (DRX) wake ups for unlicensed carriers may be explicitly or implicitly indicated to a user equipment (UE) via a carrier in a licensed spectrum.
Abstract:
A method and apparatus for uplink transmission by a user equipment (UE) includes receiving a first assignment for one or more beacon signals. The first assignment includes a first resource assignment and a first interlace assignment. The UE may determine that a size of a payload of an uplink transmission is less than a threshold. The UE may transmit the one or more beacon signals according to the first assignment in response to the determination. The one or more beacon signals increase bandwidth occupancy by the UE over a contention-based spectrum. Additionally, the UE may receive a second assignment for the payload of the uplink transmission. The second assignment includes a second resource assignment and a second interlace assignment. The UE may transmit the payload of the uplink transmission according to the second resource assignment on the second interlace assignment.