Disclosed herein is a system and method for facilitating estimation of a spatial profile of an environment based on a light detection and ranging (LiDAR) based technique. By repurposing the optical energy for communications needs, the present disclosure facilitates spatial profile estimation by optical means while facilitating free-space optical communication.

The present teaching relates to apparatus, method, medium, and implementations for initiating sensor calibration. A first GPS signal is received by a GPS receiver residing in an ego vehicle and is used to determine a first geo-position of the ego vehicle. A GPS related signal transmitted by a fiducial marker is received and is used to obtain a second geo-position of the fiducial marker. A distance between the ego vehicle and the fiducial marker is determined based on the first and second geo-positions and is used to determine whether to initiate calibration of one or more sensors using the fiducial marker.

This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for coordinated slot-based radar sensing. A first radar device, which may be a radar group leader, may broadcast information indicative of a wireless device group that includes the first wireless device. The first wireless device may receive, from a second wireless device that receives the broadcast information, a request to join the wireless device group that includes the first wireless device. The first wireless device may transmit, to the second wireless device based on the request, a grant or rejection to join the wireless device group that includes the first wireless device. The first wireless device may further transmit a transmission schedule to at least one wireless device of the wireless device group, where the at least one wireless device may include the second wireless device if the first wireless device transmits the grant.

Among other things, we describe techniques for detecting objects in the environment surrounding a vehicle. A computer system is configured to receive a set of measurements from a sensor of a vehicle. The set of measurements includes a plurality of data points that represent a plurality of objects in a 3D space surrounding the vehicle. The system divides the 3D space into a plurality of pillars. The system then assigns each data point of the plurality of data points to a pillar in the plurality of pillars. The system generates a pseudo-image based on the plurality of pillars. The pseudo-image includes, for each pillar of the plurality of pillars, a corresponding feature representation of data points assigned to the pillar. The system detects the plurality of objects based on an analysis of the pseudo-image. The system then operates the vehicle based upon the detecting of the objects.

Examples disclosed herein relate to an autonomous driving system in an ego vehicle. The autonomous driving system includes a radar system configured to detect and identify a target in a path and a surrounding environment of the ego vehicle. The autonomous driving system also includes a sensor fusion module configured to receive radar data on the identified target from the radar system and compare the identified target with one or more targets identified by a plurality of perception sensors that are geographically disparate from the radar system. Other examples disclosed herein include a method of operating the radar system in the autonomous driving system of the ego vehicle.

Examples disclosed herein relate to a high frequency component isolation for wireless and radar systems. The disclosure herein includes a radar system that has an array of radiating elements and a phase control module coupled to the array of radiating elements. The phase control module is configured to isolate one or more transmission signal paths through the phase control module from at least one conductor electrically coupled to one or more active circuits in the phase control module, the at least one conductor proximate to the one or more transmission signal paths. The phase control module is configured to adjust a reactance in a transmission signal propagating through the isolated one or more transmission signal paths to one or more radiating elements of the array of radiating elements. Other examples disclosed herein include beamforming system with high frequency component isolation and a method of beamforming with high frequency component isolation.

A vehicular sensing system includes at least one radar sensor disposed at a vehicle and having a field of sensing forward, rearward or sideward of the vehicle. Radar data captured by the radar sensor is received at an electronic control unit (ECU). Received transmitted signals reflected off objects and received at the receiving antennas are evaluated at the ECU to establish surface responses for the objects present in the field of sensing of the radar sensor. A data set of radar data that is representative of an object present in the field of sensing of the radar sensor is compared to stored data sets to determine if the data set corresponds to a particular stored data set of the stored data sets. Responsive to the data set of radar data being determined to correspond to the particular stored data set, the vehicular sensing system classifies the detected object.

A light detection and ranging system is provided. The system includes a Galvanometer mirror; a multiple-facet light steering device; and a controller device comprising one or more processors, memory, and processor-executable instructions stored in memory. The processor-executable instructions comprise instructions for receiving a first movement profile of the Galvanometer mirror of the LiDAR scanning system; receiving calibration data of the multiple-facet light steering device of the LiDAR scanning system; generating a second movement profile of the Galvanometer mirror based on the calibration data and the first movement profile; and providing one or more control signals to adjust movement of the Galvanometer mirror based on the second movement profile.

Methods, systems, and devices for wireless communication are described. A communication device (e.g., a vehicle) in wireless communications system (e.g., a cellular-vehicle-to-everything (V2X) system) may support adaptive radar transmissions based on information received in a public safety message. The communication device may use information included in the public safety message to adapt radar transmissions to enable timely detection of vulnerable road users (VRUs). In some examples, based on a location and a velocity estimate provided in the public safety message, the communication device may adjust the radar transmissions to experience a trade-off between range and velocity estimation performance. Additionally or alternatively, based on positional accuracy estimates provided in the public safety message, the communication device may adjust the radar transmissions to improve beamforming. By adapting the radar transmissions, the communication device may experience low latency and high reliability for VRU collision warnings in the C-V2X system.

For maneuver coordination among autonomous and/ or semi-autonomous vehicles, a first vehicle can determine a maneuver and submit a maneuver request to a receiving device (e. g., a second device, road side unit, or other device). The maneuver request can include a priority designation based on the vehicle type of the first vehicle, requested maneuver type, and/or other factors. The receiving device can then determine whether to grant the maneuver request based, at least in part, on the priority included in the maneuver request.