A system and a method of controlling an operation of an autonomous vehicle are provided. The method includes receiving, by the autonomous vehicle, information about neighboring vehicles and estimating a lane change intention of a first vehicle of the neighboring vehicles in a next lane in a front direction of the autonomous vehicle through the input information. Whether to allow the first vehicle to change a lane in consideration of acceleration/deceleration of the autonomous vehicle and whether a safe distance between the autonomous vehicle and the neighboring vehicles is secured is determined. An acceleration/deceleration control signal is generated for adjusting a traveling speed of the traveling vehicle and regenerative braking force and friction braking force of the autonomous vehicle is distributed according to the acceleration/deceleration control signal to perform braking.

A method secures a host vehicle circulating on a traffic lane of a road infrastructure including at least one lane adjacent to the traffic lane. The securing method includes, for each adjacent lane: detecting a plurality of vehicles present on the adjacent lane, including an estimate of at least one information item relating to each detected vehicle, including the speed; determining, with the detected vehicles forming a flow of vehicles, a value representing the speed of the flow on the adjacent lane, for example, the average speed; comparing the speed of the host vehicle with the value representing the speed of the flow of vehicles on the adjacent lane; and, if the speed of the host vehicle is greater than a predetermined threshold at the value representing the speed of the flow of vehicles on the adjacent lane, detecting a hazardous situation for the host vehicle.

The vehicle control device, independently of acceleration and deceleration operation by a vehicle driver, adjusts a vehicle speed to a predetermined target vehicle speed or adjusts an inter-vehicle interval between the vehicle and a preceding vehicle which travels ahead of the vehicle, to a predetermined target inter-vehicle interval. The vehicle control device obtains information concerning the inter-vehicle interval between the vehicle and the preceding vehicle and information concerning acceleration and deceleration operations by the driver, to update settings of the target vehicle speed and the target inter-vehicle interval according to the obtained information concerning the inter-vehicle interval and the acceleration and deceleration operation. Furthermore, the vehicle control device outputs, to a braking/driving device (a brake pedal and an engine) of the vehicle, a braking/driving command (a driving command and a braking command) for adjusting traveling state based on the updated target vehicle speed and target inter-vehicle interval.

In accordance with an exemplary embodiment, methods and systems are provided for controlling automatic overtake functionality for a host vehicle. In on such exemplary embodiment, a disclosed method includes: (i) obtaining, via a plurality of sensors, sensor data pertaining to the host vehicle and a roadway on which the host vehicle is traveling; (ii) determining, via a processor, when an automatic overtake is recommended, using the sensor data in conjunction with one or more threshold values; (iii) receiving driver inputs pertaining to the automatic overtake; and (iv) adjusting, via the processor, the one or more threshold values for the automatic overtake based on the driver inputs.

A vehicle includes a driving device configured to control a speed of the vehicle, a camera configured to detect a surrounding vehicle, and a controller configured to determine the speed of the vehicle. The controller also calculates an image vector variation amount of the surrounding vehicle when the speed of the vehicle is lower than a predetermined speed and calculates a safety distance between the vehicle and a preceding vehicle based on the image vector variation amount of the surrounding vehicle when the image vector variation amount of the surrounding vehicle satisfies a predetermined condition. The controller also controls the driving device to control the speed of the vehicle depending on the calculated safety distance.

Methods, devices and systems enable controlling an autonomous vehicle by identifying vehicles that are within a threshold distance of the autonomous vehicle, determining an autonomous capability metric of each of the identified vehicles, and adjusting a driving parameter of the autonomous vehicle based on the determined autonomous capability metric of each of the identified vehicles. Embodiments may further include determining, based on the determined ACMs, whether one or more identified vehicles would provide an operational advantage to the autonomous vehicle in a cooperative driving engagement, and initiating a cooperative driving engagement with the one or more identified vehicles in response to determining that the one or more identified vehicles would provide an operational advantage to the autonomous vehicle in a cooperative driving engagement.

A brake controller in a vehicle determines braking profiles that may be exercised while operating the vehicle in autonomous or semi-autonomous conditions to decelerate the vehicle based on received commands or that may be exercised automatically in the event of a failure in a communication network of the vehicle or in other systems or components of the vehicle. The braking profiles decelerate the vehicle according to a deceleration profile. The execution of the deceleration profile may be initiated by a single command message received by the brake controller or it may be determined by the brake controller based on vehicle information. A safe state deceleration profile may be preselected by the controlling devices before the occurrence of a failure or an emergency situation, and then executed by the brake controller upon the occurrence of a failure or emergency.

An acceleration limit function control apparatus may include a switch unit including a first switch and a second switch. Each of the switches may be configured to generate two input signals associated with different input time durations. The apparatus may be configured to set one of the input signals from the first switch as a mode switching signal for activating an acceleration limit mode and to set each of the input signals from the second switch as a level adjustment signal for increasing or decreasing an acceleration limit level. The apparatus may be configured to increase or decrease the acceleration limit level by the level adjustment signal input in the state in which the acceleration limit mode is activated.

Systems and methods for providing driving recommendations are disclosed herein. One embodiment receives, at an ego vehicle, first vehicle data and first encoded information from one or more other vehicles; constructs, from the first vehicle data, graph data representing how the ego vehicle and the one or more other vehicles are spatially related; inputs the graph data, the first vehicle data, second vehicle data pertaining to the ego vehicle, and the first encoded information to a graph convolutional network that outputs second encoded information; inputs the second encoded information and previously stored encoded information to a recurrent neural network that outputs a set of parameters to a mixture model; predicts acceleration of the one or more other vehicles using the mixture model; and generates a driving recommendation for the ego vehicle based, at least in part, on the predicted acceleration of the one or more other vehicles.

A computer is programmed to identify a target vehicle to be monitored and to identify first and second virtual boundaries on a roadway based on a position of the target vehicle. The computer is further programmed to determine a first constraint value based on (1) a first boundary approach velocity and (2) a first boundary approach acceleration and a second constraint value based on (1) a second boundary approach velocity and (2) a second boundary approach acceleration. The computer is further programmed to identify a maneuver of the target vehicle based on whether the first and second constraint values violate respective thresholds or a position of the target vehicle relative to the first and second virtual boundaries violates a threshold and to adjust a path of a host vehicle according to the identified maneuver.