A radar sensor includes: a radar antenna, a radar lens and a funnel element between the radar antenna and the radar lens. The funnel element includes a material which absorbs the radar radiation emitted by the radar antenna.

An in-vehicle device includes a travel planning portion configured to plan, as a travel plan, at least positioning of a vehicle during traveling according to a driving policy; and a verification portion that is configured to: evaluate the travel plan set by the travel planning portion based on driving rule determination information in conformity with a traffic rule; and determine whether to permit the travel plan based on an evaluation result. The travel planning portion is configured to plan positioning of the vehicle according to the driving policy that is set to reduce a frequency of occurrence of a blind area entry situation under which a different vehicle other than the vehicle causes a moving object other than the different vehicle to be positioned within a blind area of a detection range for a periphery monitoring sensor that is configured to monitor surroundings of the vehicle.

According to one or more aspects, a system for coordinated driving may include a vehicle communication system receiving a proposed driving maneuver from a tractor vehicle, an input device receiving a response to the proposed driving maneuver from an occupant of a trailer vehicle, and a route generation module generating a route corresponding to the proposed driving maneuver based on the response to the proposed driving maneuver. The tractor vehicle may be engaged in segment-by-segment coordinated driving with the trailer vehicle utilizing a cooperative adaptive cruise control (CACC) module.

Disclosed is a warning system to be provided on a first vehicle, which includes a radar for measuring the distance D with a second vehicle that is following same, a display visible from the following vehicle, a unit for calculating the safety distance DS and a camera for reading the registration number of the second vehicle.

A vehicle environment detection system (3) including a control unit arrangement (8) and at least one sensor arrangement (4) that is arranged to be mounted in an ego vehicle (1) and to provide sensor detections (9, 12) for at least two preceding target vehicles (10, 11). The control unit arrangement (8) is arranged to determine a resulting TTC, time to collision, between the ego vehicle (1) and a closest preceding target vehicle (10), based on an ego velocity (v.sub.0) and an ego acceleration (a.sub.0) for the ego vehicle (1), a first distance (r.sub.1) between the ego vehicle (1) and the closest preceding target vehicle (10), and that target velocity (v.sub.1, v.sub.2) and corresponding target acceleration (a.sub.1, a.sub.2) for a preceding target vehicle (10, 11) among the target vehicles (10, 11) that provide a lowest TTC value.

A method of designing a radar system includes implementing a supervised learning process of a neural network to determine a weight corresponding with each of a plurality of patch antennas of a radar system. Each of the plurality of patch antennas is sized in accordance with the weight.

A vehicle-to-vehicle communications system utilizes passive modulation of radar signals to communicate information between vehicles. Passive radar modulators may be provided at the rear of a forward vehicle and used to enrich radar interrogation signals from a rearward vehicle with additional information. Since radar transceivers are already located on a great deal of modern vehicles, this functionality may be easily retrofitted into many vehicles without the addition of a radar transceiver. A number of vehicles in a line of vehicles may pass information back through the line by passive modulation of radar interrogation signals from each vehicle. Accordingly, a vehicle may gain information about vehicles ahead of the one directly in front of it, thereby enabling “see through radar” functionality.

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.

Tools are provided to assisting in the driving of a given vehicle in motion. Various examples are provided related to systems and methods for managing operation of a vehicle. In one example, among others, a system includes one or more transducer arrays installed on a vehicle; a controller; at least one image pickup sensor; a diagnostic engine; and a display. The one or more transducer arrays can detect an object present within a detection area external to the vehicle. The controller can generate an object detection signal in response to detection of an object within a detection area. The diagnostic engine can monitor one or more attributes of a plurality of transducer elements of the one or more transducer arrays. The display can display object detection messages associated with the object detection signal, display images captured by the image pickup sensor, and/or receive user input via a user interface.

A system for providing smart road infrastructure for the purpose of vehicle safety and autonomous driving, comprising a plurality of road units, which are located along the borders of each traffic lane and equally spaced from each other, where each road unit includes a read/write passive RF tag; antenna for communicating with a plurality of transceivers, each of which is installed on each vehicle that travels along a traffic lane of said road, in response to signals transmitted from said transceivers; a memory for temporarily storing data regarding each vehicle traveling along said lane. Each car unit comprises a reader for interrogating said tags. The reader includes a first transceiver that is installed on the left front of said vehicle and a second transceiver that is installed on the right front of said vehicle; a processor being in bidirectional data communication with said transceivers and with the vehicle inherent control systems, for processing data received from said tags and calculating speed and location of said vehicle with respect to the borders of said lane and to other neighboring vehicles traveling in said lane and adjacent lanes, to implement vehicle safety operations such as Lane Departure Warning, Forward Collision Warning, Lane Keeping Assist, Lane Centering, Side Collision Warning. Alerting the driver (visually and/or audibly) regarding potential problems and/or taking over control of the vehicle (ADAS 1-5). The system can provide Connected Vehicles with accurate (ubiquitous and instantaneous) location data with lane-level resolution. The proposed smart infrastructure may complement car sensors and/or connected vehicles, so as to implement a combination that yield the most relabel and cost-effective autonomous driving system.