A control system for a vehicle includes an engine controller operable to determine a requested engine torque in response to a cruise control set command and a cruise control offset value, determine an engine torque command in response to the requested engine torque and a torque limit, and control operation of an engine in response to the engine torque command. The control system also includes a platooning controller operable to determine and provide to the engine controller the cruise control set command, the cruise control offset value and the torque limit effective to cause the engine controller to control the engine to provide a desired following distance between the vehicle and a second vehicle.

Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

A driving assist device includes a first sensor, a second sensor, and a control device. The control device does not execute an inter-vehicle distance control under a predetermined first condition upon determination that at least one preceding object is detected based on the output of one of the first sensor and the second sensor without being detected based on the output of the other of the first and second sensors; and an environment of a non-detection sensor that is the other of the first and second sensors satisfies a first requirement for determination of a reliability of the output of the non-detection sensor; and the control device executes the inter-vehicle distance control under a predetermined second condition upon determination that the environment of the non-detection sensor satisfies a second requirement for determination of the reliability of the output of the non-detection sensor.

An object recognition determination produced by a perception system from data received from a ranging sensor system can be verified. A certificate can be produced that includes data for points of readings from the ranging sensor system. The points can have been segmented, by the perception system, into point sets that correspond to objects in an environment of a cyber-physical system. The certificate can also include lists of pairs of points in a point set and a velocity of the point set. A test of information in the certificate can be performed. Based on a result of the test: a rectification can be made to the perception system or the ranging sensor system or a communication can be transmitted to a control signal production module configured to produce, in response to the communication, a control signal to be transmitted to an actuator system configured to control the cyber-physical system.

An in-vehicle radar signal control method includes: determining a target interference area of a first vehicle, a vehicle in the target interference area interfering with an in-vehicle radar signal of the first vehicle; determining vehicles in the target interference area as a first vehicle cluster, and determining strength of in-vehicle radar signals of vehicles in the first vehicle cluster; determining whether a new second vehicle enters the target interference area; and in response to a determination that the second vehicle enters the target interference area, obtaining an adjustment signal; the adjustment signal indicating one or more of: increasing or reducing strength of the in-vehicle radar signal of the first vehicle, adjusting a travel speed of the first vehicle, and adjusting a travel direction of the first vehicle.

A control apparatus (10) generates probe data from sensing data obtained by sensing objects in a mobile object's surroundings. The control apparatus (10) selects at least some pieces of probe data as transmission data from the probe data generated, according to a communication resource determined according to a role of the mobile object. The control apparatus (10) transmits the transmission data selected to a management server (20). The management server (20) updates management data such as a dynamic map based on the transmission data.

A system for estimating a distance between vehicles may include an oscillator, a transmitter, a receiver, a summing circuit, a signal analyzer, a tunable phase shifter, a distance estimator, and/or a vehicle identifier. The oscillator may generate a generated oscillating signal, transmitted by the transmitter. The receiver may receive a processed signal derived by a system of a second vehicle. The summing circuit may add the generated oscillating signal to the received signal to produce the updated oscillating signal. The signal analyzer may detect a spike in amplitude associated with the updated oscillating signal. The tunable phase shifter may shift a phase of the generated oscillating signal by an incremental phase shift amount until a spike in amplitude is detected. The distance estimator may estimate the distance between the first vehicle and the second vehicle based on a total phase shift amount and the predetermined wavelength.

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.

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.

Techniques are described herein for allowing one or more vehicles or radar systems in an environment to passively detect radar signals from other vehicles or other radar systems and determine spatial parameters of objects based on the passively received radar signals. A primary vehicle (or user equipment (UE) associated with the primary vehicle) may be configured to receive one or more radar signals from one or more secondary vehicles (or UEs associated with the secondary vehicles). The primary vehicle may be configured to determine one or more spatial parameters of the secondary vehicle based on the passively received radar signals. In some cases, the primary vehicle may receive an indication that identifies at least some communication resources to be used by the secondary vehicle to transmit the radar signals. The primary vehicle may determine one or more driving operations based on determining the spatial parameter.