A method or system for adaptive vehicle spacing, including determining a current state of a vehicle based on sensor data captured by sensors of the vehicle; for each possible action in a set of possible actions: (i) predicting based on the current vehicle state a future state for the vehicle, and (ii) predicting, based on the current vehicle state a first zone future safety value corresponding to a first safety zone of the vehicle; and selecting, based on the predicted future states and first zone future safety values for each of the possible actions in the set, a vehicle action.

A vehicle control system that makes it possible to ensure the safety and enhance the productivity at the same time is provided. An unmanned dump 10 receives positional information about a manned vehicle 20 by using infrastructure-to-vehicle communication 520 and infrastructure-to-infrastructure communication 510. In a case where an inter-vehicle distance X between the unmanned dump 10 and the manned vehicle 20 is equal to or shorter than a reference distance Y, the unmanned dump 10 decides whether or not vehicle-to-vehicle communication 550 is established between the unmanned dump 10 and the manned vehicle 20. In a case where it is decided that the vehicle-to-vehicle communication 550 is established, the upper limit of the travel speed of the unmanned dump 10 is set to a first speed V1, and in a case where it is decided that the vehicle-to-vehicle communication 550 is not established, the upper limit of the travel speed of the unmanned dump 10 is set to a second speed V2.

Systems and methods are described herein for managing communications for a connected vehicle, such as between the connected vehicle and other connected vehicle and/or between the connected vehicle and infrastructure entities, such as providers of services to the connected vehicle. For example, a communication network, such as a network provided by a network carrier, may include various cloud engines or other network-based servers that manage, coordinate, and/or provision communications between the connected vehicle and other parties, such as vehicles, road devices, buildings, and other infrastructure entities.

A vehicle identification system includes a communication device receiving other vehicle information related to other vehicle around a host vehicle, a detection device detecting other vehicle around the host vehicle, and a vehicle identification device identifying a vehicle transmitting the other vehicle information on the basis of the other vehicle information received by the communication device and the detection device, wherein the vehicle identification device is switching between a capturing mode capturing the transmitting vehicle on the basis of the other vehicle information received by the communication device and the detection device, and a tracking mode identifying the transmitting vehicle on the basis of a positional relation between the host vehicle and the transmitting vehicle at the time of the capturing mode, and motion information related to the transmitting vehicle based on the other vehicle information received by the communication device, after the capturing mode.

A system and method for navigating a vehicle automatically from a current location to a destination location without a human operator is disclosed. The method includes identifying a vehicle location using global positioning system (GPS) data regarding the vehicle. Also included is identifying that the vehicle location is near or at a parking location. Then, using mapping data defined for the parking location. The mapping data at least in part is used to find a path at the parking location to avoid a collision of the vehicle with at least one physical structure when the vehicle is automatically moved at the parking location. The method includes instructing the electronics of the vehicle to proceed with controlling the vehicle to automatically move from the current location to the destination location at the parking location. The electronics use as input at least part of the mapping data and sensor data collected from around the vehicle by at least two vehicle sensors. The path is configured to be updatable dynamically based on changes in the destination location or changes along the path. The destination location is a parking spot for the vehicle at the parking location.

In one embodiment, instead of using map data, a relative coordinate system is utilized to assist perception of the driving environment surrounding an ADV for some driving situations. One of such driving situations is driving on a highway. Typically, a highway has fewer intersections and exits. The relative coordinate system is utilized based on the relative lane configuration and relative obstacle information to control the ADV to simply follow the lane and avoid potential collision with any obstacles discovered within the road, without having to use map data. Once the relative lane configuration and obstacle information have been determined, regular path and speed planning and optimization can be performed to generate a trajectory to drive the ADV. Such a perception system is referred to as a relative perception system based on a relative coordinate system.

A computer includes a processor and a memory storing instructions executable by the processor to detect a potential hydroplaning area of a roadway based on topographic data and based on vehicle sensor data, and to actuate a component of a vehicle based on a location of the potential hydroplaning area.

A method of autonomously backing a vehicle (e.g., a tractor unit) to a trailer (e.g., a semi-trailer) comprising a trailer-mounted coupling device (e.g., a kingpin). The method includes determining, by an autonomous backing module of the vehicle, a target corresponding to the trailer-mounted coupling device; determining, by the autonomous backing module, a path to maneuver the vehicle to the target and align a vehicle-mounted coupling device (e.g., a fifth wheel) with the trailer-mounted coupling device, determining, by the autonomous backing module, commands to components of the vehicle to autonomously control the vehicle to maneuver along the determined path to the target, and transmitting, by the autonomous backing module, the commands to the components of the vehicle (e.g., a braking control module, a steering control module, and/or a torque request module). Suitably configured vehicles are also described.

Provided is a driving assist device 10 that recognizes an object in the vicinity of a moving body, and assists a driver in driving the moving body, the apparatus including: an object detecting unit 12 that detects the object in the vicinity of the moving body; a three dimensional object detecting unit 13 that detects a three dimensional object in the vicinity of the moving body; and an object recognition unit 18 that recognizes the object at a predetermined detection position as a non-obstacle when the object information storing unit 16 stores the position of the object, and the three dimensional object information storing unit 17 does not store the position of the three dimensional object at the predetermined position in which detection is performed by both of the object detecting unit 12 and the three dimensional object detecting unit 13.

In a vehicle travel control apparatus configured to determine a target acceleration of an own vehicle based on an inter-vehicle distance to a predicted cutting-in vehicle predicted to cut in between the own vehicle and a following target vehicle as well as an inter-vehicle distance to the following target vehicle, it is necessary to notify a driver of the presence of the predicted cutting-in vehicle at an appropriate timing. A cutting-in probability, which is a probability that the predicted cutting-in vehicle carries out the cutting in, is acquired, and information on the predicted cutting-in vehicle is notified to the driver from a time point when a state where the cutting-in probability is higher than a start probability threshold has continued for a predetermined period to a time point when a state where the cutting-in probability is lower than an end probability threshold has continued for a predetermined period.