Abstract:
A method, an apparatus, and a computer program product for wireless communication are provided. The device may receive a signal on each of N channels from another device. The N channels may include a first channel. The device may determine a frequency response of each of the N channels based on the received signals. The device may transform, from a frequency domain to a time domain, the N frequency responses in order to generate a transformed signal. The frequency response of an nth channel of the N channels may be adjusted by a channel offset of the nth channel with respect to the first channel for n being each integer from 2 to N. The device may then estimate the channel offset for each of the N channels other than the first channel based on the transformed signal.
Abstract:
A method, an apparatus, and a computer program product for relaying a packet are provided. The apparatus receives at least one packet and reduces a degree of the at least one packet. The apparatus further processes the at least one packet based on the reduced degree, generates a combined packet by combining the at least one processed packet with at least one other processed packet based on the reduced degree and a weight of each of the processed packets, and transmits the combined packet.
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:
A range between a first wireless device and a second wireless device is estimated using a first mechanism based on messages transmitted over a first communication channel. The first communication channel is associated with a first radio access technology capability of the wireless devices. One or more metrics indicative of an accuracy of the range estimates provided by the first mechanism are obtained. A second mechanism to estimate a range between the first wireless device and the second wireless device may be implemented in favor of the first mechanism when the metric fails to satisfy a criterion. The second mechanism is based on unicast messages transmitted over a second communication channel. The second communication channel is associated with a second radio access technology capability of the wireless devices and may be the same as, or different from, the first communication channel.
Abstract:
A method, an apparatus, and a computer-readable medium for wireless communication are provided. In one aspect, an apparatus is configured to determine device information associated with the apparatus. The device information identifies at least one channel on which the apparatus is communicating. The at least one channel is a WLAN channel and/or a DSRC channel. The apparatus is configured to transmit a feedback report that includes the device information over a WAN connection.
Abstract:
Disclosed are implementations that include a method, at a mobile device, including receiving multiple broadcast messages transmitted by multiple stationary wireless devices, and obtaining first information relating to each of the multiple broadcast messages, with at least some of the first information being included in the multiple broadcast messages, and second information relating to at least one earlier broadcast communication received by at least one of the multiple stationary wireless devices, prior to transmission of the at least one of the multiple broadcast messages, from at least one other of the multiple stationary wireless devices, with the second information included in the at least one of the multiple broadcast messages. The method also include determining location information for the mobile device based on the first information, the second information, and known positions of at least some of the multiple stationary wireless devices.
Abstract:
Apparatus and method are provided for estimating the shortest time of arrival or the shortest round-trip time (RTT) of radio signals between communication devices in a wireless network. Filtering is performed by adaptive filters with suppressed side lobes adjustable in the time domain and widths of main lobes adjustable in the frequency domain to improve detection of signals on the shortest path of arrival or line-of-sight (LOS) path while mitigating the effects signals received from longer paths of arrival or non-line-of-sight (NLOS) paths.
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:
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.