System and methods are provided which involve a radar system that includes one or more signal generators configured for generating a composite radar waveform formed by combining different component waveforms; and a detector for detecting reflected signals from the composite waveform and determining velocity and distance measurements of a target relative to a host vehicle. Advantageously, the first and second component waveforms are selected such that the composite waveform is able to meet two different sets of resolution requirements with respect to at least one of: (i) the velocity measurement of the target vehicle relative to the host vehicle and (ii) the distance measurement of a target vehicle relative to the host vehicle. Notably, each of the different sets of resolution requirements is pre-selected based on a different type of detection scenario.

Methods and systems are described that enable vehicle routing based on availability of radar-localization objects. A request to navigate to a destination is received, and at least two possible routes to the destination are determined. Availabilities of radar-localization objects for the possible routes are determined, and a route is selected based on the availabilities of the radar-localization objects. Furthermore, while traveling along a route, the vehicle is localized based on radar detections of radar-localization objects. A radar-localization quality of the localizing is monitored, and a determination is made that the radar-localization quality has dropped or will drop. Based on the radar-localization quality dropping, the route is modified and/or an operation of a radar module is adjusted. In this way, availabilities of radar-localization objects may be used to select an optimal route and to adjust a current navigation along a route to minimize driver takeover.

Methods and systems are described that enable vehicle routing based on availability of radar-localization objects. A request to navigate to a destination is received, and at least two possible routes to the destination are determined. Availabilities of radar-localization objects for the possible routes are determined, and a route is selected based on the availabilities of the radar-localization objects. Furthermore, while traveling along a route, the vehicle is localized based on radar detections of radar-localization objects. A radar-localization quality of the localizing is monitored, and a determination is made that the radar-localization quality has dropped or will drop. Based on the radar-localization quality dropping, the route is modified and/or an operation of a radar module is adjusted. In this way, availabilities of radar-localization objects may be used to select an optimal route and to adjust a current navigation along a route to minimize driver takeover.

A radar system includes transmitters and receivers configured for installation and use in a vehicle. The transmitters transmit radio signals. The receivers receive radio signals that include the transmitted radio signals reflected from objects in an environment. Each receiver has a controller, a buffer, and a post-buffer processor. The receiver processes the received radio signals and stored data samples in the buffer. The buffer operates in a plurality of modes defined by the controller. Two or more modes of operation of the plurality of modes are performed with a same set of data samples stored in the buffer. The post-buffer processor receives data samples from the buffer and performs at least one of correlation processing to determine object ranges, Doppler processing to determine object velocity, and, in combination with other receivers of the plurality of receivers, further processing to determine angular locations of the objects.

A radar system includes transmitters and receivers configured for installation and use in a vehicle. The transmitters transmit radio signals. The receivers receive radio signals that include the transmitted radio signals reflected from objects in an environment. Each receiver has a controller, a buffer, and a post-buffer processor. The receiver processes the received radio signals and stored data samples in the buffer. The buffer operates in a plurality of modes defined by the controller. Two or more modes of operation of the plurality of modes are performed with a same set of data samples stored in the buffer. The post-buffer processor receives data samples from the buffer and performs at least one of correlation processing to determine object ranges, Doppler processing to determine object velocity, and, in combination with other receivers of the plurality of receivers, further processing to determine angular locations of the objects.

A radar sensing system for a vehicle includes transmitters, receivers, a memory, and a processor. The transmitters transmit radio signals and the receivers receive reflected radio signals. The processor produces samples by correlating reflected radio signals with time-delayed replicas of transmitted radio signals. The processor stores this information as a first radar data cube (RDC), with information related to signals reflected from objects as a function of time (one of the dimensions) at various distances (a second dimension) for various receivers (a third dimension). The first RDC is processed to compute velocity and angle estimates, which are stored in a second RDC and a third RDC, respectively. One or more memory optimizations are used to increase performance. Before storing the second RDC and the third RDC in an internal/external memory, the second and third RDCs are sparsified to only include the outputs in specific regions of interest.

A radar sensing system for a vehicle has multiple transmitters and receivers on a vehicle. The transmitters are configured to transmit radio signals which are reflected off of objects in the environment. There are one or more receivers that receive the reflected radio signals. Each receiver has an antenna, a radio frequency front end, an analog-to-digital converter (ADC), and a digital signal processor. The transmitted signals are based on spreading codes generated by a programmable code generation unit. The receiver also makes use of the spreading codes generated by the programmable code generation unit. The programmable code generation unit is configured to selectively generate particular spreading codes that have desired properties.

A variety of methods, controllers and algorithms are described for identifying the back of a particular vehicle (e.g., a platoon partner) in a set of distance measurement scenes and/or for tracking the back of such a vehicle. The described techniques can be used in conjunction with a variety of different distance measuring technologies including radar, LIDAR, camera based distance measuring units and others. The described approaches are well suited for use in vehicle platooning and/or vehicle convoying systems including tractor-trailer truck platooning applications. In another aspect, technique are described for fusing sensor data obtained from different vehicles for use in the at least partial automatic control of a particular vehicle. The described techniques are well suited for use in conjunction with a variety of different vehicle control applications including platooning, convoying and other connected driving applications including tractor-trailer truck platooning applications.

A variety of methods, controllers and algorithms are described for identifying the back of a particular vehicle (e.g., a platoon partner) in a set of distance measurement scenes and/or for tracking the back of such a vehicle. The described techniques can be used in conjunction with a variety of different distance measuring technologies including radar, LIDAR, camera based distance measuring units and others. The described approaches are well suited for use in vehicle platooning and/or vehicle convoying systems including tractor-trailer truck platooning applications. In another aspect, technique are described for fusing sensor data obtained from different vehicles for use in the at least partial automatic control of a particular vehicle. The described techniques are well suited for use in conjunction with a variety of different vehicle control applications including platooning, convoying and other connected driving applications including tractor-trailer truck platooning applications.

This disclosure provides systems, methods, and devices for wireless communication that support a velocity estimation, such as a velocity estimation with radio frequency (RF) sensing. In a first aspect, a velocity of an object is determined based on doppler measurements from multiple transmission/reception points (TRPs). In a second aspect, the velocity of the object is determined based on angle of arrival (AoA) information received from multiple TRPs. The AoA information may include a range, an AoA, a time, or a combination thereof. In a third aspect, the velocity of the object is determined based on an orientation of the object during a sensing operation performed by a TRP. Other aspects and features are also claimed and described.