Examples disclosed herein relate to radar systems to coordinate detection of objects external to the vehicle and distractions within the vehicle. A method of environmental detection with a radar system includes detecting an object in an external environment of a vehicle with the radar system positioned on the vehicle. The method includes determining a distraction metric from measurements of user activity obtained within the vehicle with the radar system. The method includes adjusting one or more detection parameters of the radar system based at least on the detected object and the distraction metric. Other examples disclosed herein relate to a radar sensing unit for a vehicle that includes an internal distraction sensor, an external object detection sensor, a coordination sensor and a central controller for internal and external environmental detection.

In some implementations, a method of verifying operation of a sensor is provided. The method includes causing a sensor to obtain sensor data at a first time, wherein the sensor obtains the sensor data by emitting waves towards a detector. The method also includes determining that the detector has detected the waves at a second time. The method further includes receiving the sensor data from the sensor at a third time. The method further includes verifying operation of the sensor based on at least one of the first time, the second time, or the third time.

Systems, methods, and computer-readable storage media for generating and utilizing radar signals with embedded data are disclosed. Data is encoded onto a CPM waveform, which is then combined with a base radar waveform to produce a radar-embedded communication (REC) waveform. Both the CPM waveform and the base radar waveform may have a continuous phase and constant envelope, resulting in the REC waveform having a continuous phase and constant envelope. The changing (e.g., on a pulse-to-pulse basis) nature of the REC waveform causes RSM of clutter which may result in residual clutter after clutter cancellation, decreasing target detection performance of the radar system. In an aspect, various parameters may be utilized to dynamically adjust the performance of the radar system for a particular operating scenario, such as to enhance radar signal processing or enhance data communication capabilities.

Among other things, techniques are described for spatially and temporally consistent ground modelling with information fusion. A vehicle location and orientation is obtained and an instantaneous ground height estimation is obtained for anchor cells of a grid map of the vehicle based on the obtained vehicle location and orientation. A pseudo ground height associated with non-anchor cells of the grid map is computed. A Bayesian filtering framework is used to generate a final ground height estimate for the anchor cells and the non-anchor cells based on the instantaneous ground height estimation for the anchor cells, the pseudo ground height associated with non-anchor cells, an estimated ground height from a previous timestamp, or any combinations thereof. The vehicle operates according to the final ground height estimate.

Example embodiments relate to techniques for detecting adverse road conditions using radar. A computing device may generate a first radar representation that represents a field of view for a radar unit coupled to a vehicle and during clear weather conditions and store the first radar representation in memory. The computing device may receive radar data from the radar unit during navigation of the vehicle on a road and determine a second radar representation based on the radar data. The computing device may also perform a comparison between the first radar representation and the second radar representation and determine a road condition for the road based on the comparison. The road condition may represent a quantity of precipitation located on the road and provide control instructions to the vehicle based on the road condition for the road.

Certain aspects of the present disclosure provide techniques for sensor calibration. First sensor data is received from a first sensor and second sensor data is received from a second sensor, where the first sensor data and the second sensor data each indicate detected objects in a space. The first sensor data is transformed using a first transformation profile to convert the first sensor data to a coordinate frame of the second sensor data. The first transformation profile is refined based on a difference between the transformed first sensor data and the second sensor data.

Methods, systems, and devices for wireless communications are described. Generally, a user equipment (UE) (e.g., a vehicle) may determine a configuration, including an offset value for the radar waveform, for transmitting a radar waveform for multiple radar transmitters. The UE may transmit, according to the identified configuration, a first instance of the radar waveform with a first radar transmitter. The UE may also transmit a second instance of the radar waveform with a second radar transmitter. The second instance of the radar waveform may be offset from the first instance of the radar waveform by the offset value. The Offset value may be a time offset, a frequency offset, or both. The UE may identify at least one object, and may filter our interference between the first instance of the radar waveform and the second instance of the radar waveform based on the offset.

A method for reducing parking violations includes: searching for an empty parking spot in an area surrounding a vehicle; receiving, by a controller of the vehicle, parking restriction information in the area surrounding the vehicle, wherein the controller receives the parking restriction information from sensors of the vehicle; determining, by the controller of the vehicle, that the empty parking spot is invalid; and activating, by the controller of the vehicle, an alarm to alert a vehicle operator of the vehicle that the empty parking spot is invalid.

The disclosure relates to a method of providing a current local environment status map for a motor vehicle, and to a motor vehicle and a system for carrying out the method. The method includes generating own driving situation data which describe a current, position-related vehicle parameter of the motor vehicle, and generating environment situation data which describe a current arrangement of a further motor vehicle located in a predefined environment of the motor vehicle. The method also includes generating, based on these data, a vehicle environment map which describes a current local traffic situation in the predefined environment. The further vehicle environment maps of the environment of the vehicle are received from at least one other the further motor vehicle and are combined with the generated vehicle environment map using a map data evaluation criterion in order to generate an improved current local environment status map for the motor vehicle.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) in a vehicle-to-everything (V2X) system may receive configuration information from an assisting node, such as a roadside unit (RSU), for calculating location information for a target UE in the V2X system. The assisting node may reflect one or more radar signals from the UE towards the target, and from the target back towards the UE according to the configuration information. That is, the assisting node may modify one or more waveform parameters of the reflection according to the configuration information. The UE may calculate location information for the target based on the reflection, such as by classifying the target as non-line-of-sight (NLOS) based on modified waveform parameters, location information of the assisting node, or both.