Abstract:
A method for developing and reporting enhanced user equipment (UE) location information includes obtaining a global positioning system (GPS) location for a user equipment (UE), determining a location of at least one radio frequency (RF) antenna relative to the GPS location, developing a reference frame based at least in part on the location of the at least one RF antenna, determining a location of a structural element of the UE, and transmitting the GPS location, the location of the at least one RF antenna, and the location of the structural element of the UE.
Abstract:
A method of determining a position of a mobile platform includes obtaining a plurality of pseudorange measurements from multiple time epochs of a satellite navigation system (SPS) and obtaining a plurality of visual-inertial odometry (VIO) velocity measurements from a VIO system. Each time epoch of the SPS includes at least one pseudorange measurement corresponding to a first satellite and at least one pseudorange measurement corresponding to a second satellite. The method also includes combining the plurality of pseudorange measurements with the plurality of VIO velocity measurements to identify one or more outlier pseudorange measurements in the plurality of pseudorange measurements. The one or more outlier pseudorange measurements are then discarded from the plurality of pseudorange measurements to generate a remaining plurality of pseudorange measurements. The position of the mobile platform is then computed based on the remaining plurality of pseudorange measurements and the plurality of VIO velocity measurements.
Abstract:
Techniques for use in determining a position of a mobile device are provided in which a range estimate can be classified as a line-of-sight (LOS) range estimate or a non-line-of-sight (NLOS) range estimate and the range estimate and classification can be used to determine the position of the mobile device. A method according to these techniques includes determining channel impulse response (CIR) information based on at least one measurement of signals exchanged between the mobile device and another wireless device; classifying a range estimate representing an estimated distance between the mobile device and the other wireless device as a line-of-sight (LOS) range estimate or a non-line-of-sight (NLOS) range estimate based at least in part on the CIR information; and using the range estimate and the classification of the range estimate to determine the position of the mobile device.
Abstract:
Disclosed are systems and techniques for wireless communications. For example, a device can receive, from a first vehicle, a view request for a visual view of a region of interest (ROI). The device can transmit a request for key points and feature descriptors related to a view of the first vehicle and respective view(s) of the other vehicle(s), and can match the key points/feature descriptors related to the other vehicle(s) and the first vehicle. The device can determine, based on the matching, at least one vehicle to provide at least one ROI view of the ROI and determine at least one mapping between the at least one vehicle and the first vehicle, which can be used to combine the at least one ROI view of the at least one vehicle with the view of the first vehicle to generate a combined image having the visual view of the ROI.
Abstract:
Techniques and systems are provided for vehicle localization. For instance, a process can include obtaining a point corresponding to a target in an environment, the point indicating a location of the target in the environment, and wherein the point is a non-semantic point for use with a non-semantic layer (NSL) of a map, obtaining pose information indicating a heading of a vehicle, generating a map point based on a quantization of the obtained point, and outputting the generated map point to a map server. For another instance, a process can include obtaining a NSL of a map of an environment, the NSL including a map point corresponding to a target in the environment, wherein the point is a non-semantic point; determining, based on a comparison between the pose information and the heading information, that the target is relevant to the vehicle; and transmitting the map point to the vehicle.
Abstract:
Aspects relate to techniques for estimating relative pose leveraging lane markers. A first wireless communication device may receive a message from a second wireless communication device including a plurality of visual features (e.g., keypoints) of an image captured by the second wireless communication device, lane features identifying two (or more) traffic lane markers, and respective two-point two-line (2L2P) metrics for pairs of keypoints based on the traffic lane markers. The first wireless communication device may then obtain additional features from an additional image captured by the first wireless communication device and identify matching keypoints of the additional features for which the respective 2L2P metrics are satisfied. The first wireless communication device may then calculate a relative pose of the first wireless communication device with respect to the second wireless communication device based on the matching features.
Abstract:
Creating and updating an accurate radar map layer for HD map using crowdsourcing may comprise a vehicle obtaining radar data and filtering the radar data on a frame-by-frame basis. In some embodiments, additional filtering may be made on a batch of frames. The vehicle can then transmit the filtered radar data responsive to a determination that a confidence of a position estimate of the vehicle exceeds a conference threshold level and/or a determination that a reliance of the position estimate of the vehicle on the radar data exceeds a reliance threshold level.
Abstract:
A method of determining a trajectory of a mobile platform includes obtaining a satellite positioning system (SPS) measurement from one or more SPS signals acquired by an SPS receiver of the mobile platform. The method also includes obtaining a visual-inertial odometry (VIO) measurement of the mobile platform from a VIO system of the mobile platform. A first position estimate of the mobile platform is determined based, at least in part, on the SPS measurement and the VIO measurement. The method then includes adjusting the first position estimate to generate a smoothed position estimate based, in part, on a smoothing parameter that controls a smoothness of the trajectory. The trajectory of the mobile platform is then determined, at least in part, using the smoothed position estimate.
Abstract:
Clock drift for range estimation between a first wireless device and a second wireless device is determine before such estimation, while acceptable communication between the first device and the second device is unavailable. While acceptable communication is unavailable, a relative clock drift Δ01 between a relative wireless device and the first device is obtained by the second device; a relative clock drift Δ20 between the second device and the relative wireless device is determined; and a relative clock drift Δ21 between the second device and the first device is estimated based on the relative clock drift Δ01 and the relative clock drift Δ20. Once acceptable communication is available, a distance between the first device and the second device is estimated based on the relative clock drift Δ21.
Abstract:
Provided are apparatus and methods for ranging between a plurality of wireless devices. An exemplary method includes, at a first wireless device, transmitting a primary portion symbol comprising a first packet and transmitting a secondary portion symbol. The secondary portion symbol is transmitted simultaneously at a lower transmit power than the primary portion symbol, and the secondary portion symbol comprises a second packet identical to the first packet. The primary portion symbol can be transmitted in a first channel having a substantially 20 MHZ bandwidth and the secondary portion can be transmitted in a second channel having a substantially 20 MHZ bandwidth. The first and second channels are substantially adjacent in frequency. After transmitting the primary portion symbol, for example, a high-throughput long-training-field symbol or a very-high-throughput long-training-field symbol can be repetitively transmitted. This exemplary method enhances time-of-arrival estimation accuracy, minimizes decoding bottlenecking, and maximizes wireless device range.