A system and method of inducing and controlling coasting of a vehicle are able to prevent unnecessary acceleration and deceleration, improve fuel efficiency, and prevent a safety accident of a driver and pedestrians by dividing a preset distance from a vehicle to a signal lamp into four or more sections on the basis of road signal information, etc., and by performing deceleration induction, deceleration control, acceleration induction, coasting induction, creep torque control in coasting, etc. for sections, respectively, based on information of a vehicle speed, a signal lamp, etc.

An object recognition unit recognizes an object included in an image captured by a camera mounted on a vehicle. A first distance estimation unit estimates a distance between the vehicle and the recognized object based on the image. A second distance estimation unit estimates the distance between the vehicle and the recognized object based on the image by using an estimation method different from that of the first distance estimation unit. A combining unit combines a result of estimating the distance obtained by the first distance estimation unit and a result of estimating the distance obtained by the second distance estimation unit based on at least one of an amount of change in the distance estimated by the second distance estimation unit, a steering wheel angle of the vehicle, and information about an acceleration in an up-down direction, and outputs a result of the combination as a ranging result.

A vehicle travel control device is equipped with a target vehicle speed setting part which outputs a set up target vehicle speed, a constant speed travel controller which outputs a first acceleration instruction for constant speed travel from the speed of a host vehicle and the target vehicle speed, a target inter vehicle distance setting part which outputs a target inter vehicle distance between a preceding vehicle and the host vehicle, an inter vehicle distance controller which outputs a second acceleration instruction for controlling to the target inter vehicle distance, and a control selection part which selects either the first acceleration instruction or the second acceleration instruction, to make an acceleration instruction. The control selection part has a predetermined switching acceleration, and is configured to select the second acceleration instruction of the inter vehicle distance controller, when it is judged that the second acceleration instruction exceeds the switching acceleration.

In an overhead-structure recognition device to be mounted to a vehicle, a determination unit is configured to, in response to there being, among specific pieces of range point data each having a direction variable indicating a predefined direction, a predefined number or more of pieces of range point data each having a distance variable taking a plurality of values, determine that an object of interest corresponding to a subset of interest of pieces of range point data is an overhead structure. The predefined direction is a direction such that a horizontal angle difference from a direction indicated by the direction variable of the piece of range point data corresponding to the object of interest is within a predefined angle range and an angle with respect to a vertical direction is greater than an angle between the vertical direction and a direction of travel of the vehicle.

The techniques and systems herein enable estimated-acceleration determination for AEB Specifically, for a potential collision, a determination is made as to whether the target of the potential collision is likely to be stopped prior to the potential collision (e.g., due to its own braking). One of a plurality of estimated-acceleration functions is then selected based on whether the target is likely to be stopped prior to the potential collision. Using the selected estimated-acceleration function, an estimated acceleration to avoid the potential collision is calculated. By selecting different estimated-acceleration functions based on whether targets are likely to be stopped prior to potential collisions, more-accurate estimated accelerations may be generated, thus enabling better collision avoidance and/or avoiding unnecessarily strong braking.

A vehicle control system includes a receiving unit to receive movement information of a plurality of forward vehicles on a road on which a subject vehicle is driven through V2X communication; a sensor to sense a specific forward vehicle, from among the plurality of forward vehicles, that is driven ahead of the subject vehicle; and a control unit to calculate a driving path for the subject vehicle based on the movement information of the plurality of forward vehicles received by the receiving unit and to control driving of the subject vehicle to follow the driving path or the specific forward vehicle.

Provided are autonomous vehicles (AV), computer program products, and methods for maneuvering an AV in a roadway, including receiving forecast information associated with predicted trajectories of one or more actors in a roadway, determining a relevant trajectory of an actor based on correlating a forecast for predicted trajectories of the actor with the trajectory of the AV, regenerate a distance table for the relevant trajectory previously generated for processing constraints, generate a plurality of margins for the AV to evaluate, the margins based on a plurality of margin types for providing information about risks and effects on passenger comfort associated with a future proximity of the AV to the actor, classifying an interaction between the AV and the actor based on a plurality of margins, and generating continuous scores for each candidate trajectory that is also within the margin of the actor generated for the relevant trajectory.

The disclosure relates to a lane change method and system, a storage medium, and a vehicle. The lane change method includes the following steps: receiving consecutive frames of condition information, the condition information including velocity information of a current vehicle, state information of an adjacent vehicle, and lane information; with the condition information as an input to a neural network, processing the condition information by means of the neural network, to obtain an initial lane change strategy; and correcting the initial lane change strategy based on a predetermined rule and the condition information, to generate and output a corrected lane change strategy. According to this lane change method, intelligent, safe and efficient lane change may be achieved during an autonomous driving or driving assistance process.

A method of operating a vehicle, comprises determining, by a computer located in a first vehicle, that an initial distance between the first vehicle and a second vehicle is less than a first distance or a second distance, where the second vehicle is located in a same lane as and in front of the first vehicle; generating, in response to the determining, a sequence of position values and velocity values for the first vehicle, wherein each of the position values and each of the velocity values are associated with a time value; and causing the first vehicle to increase a distance between the first vehicle and the second vehicle by causing the first vehicle to move or operate according to the sequence of position values and velocity values.

Disclosed herein are system, method, and computer program product embodiments for switching between local and remote guidance instructions for autonomous vehicles. For example, the method includes, in response to monitoring one or more actions of objects detected in a scene in which the autonomous robotic system is moving, causing the autonomous robotic system to slow or cease movement in the scene. The method includes detecting a trigger condition based on movement of the autonomous robotic system in the scene. In response to the one or more monitored actions and detecting the trigger condition, the method includes transmitting a remote guidance request to a remote server. After transmitting the remote guidance request, the method includes receiving remote guidance instructions from the remote server and causing the autonomous robotic system to begin operating according to the remote guidance instructions.