Systems and methods for personalizing adaptive cruise control in a vehicle are disclosed herein. One embodiment collects vehicle-following-behavior data associated with a particular driver; trains a Gaussian Process (GP) Regression model using the collected vehicle-following-behavior data to produce a set of adaptive-cruise-control (ACC) parameters pertaining to the particular driver, the set of ACC parameters modeling learned vehicle-following behavior of the particular driver; generates an acceleration command for the vehicle based, at least in part, on the set of ACC parameters; applies a predictive safety filter to the acceleration command to produce a certified acceleration command that has been vetted for safety; and controls acceleration of the vehicle automatically in accordance with the certified acceleration command to regulate a following distance between a lead vehicle and the vehicle in accordance with the learned vehicle-following behavior of the particular driver.

An apparatus for operating an electric machine of a vehicle during a recuperation process is provided. The vehicle includes a first electric machine which is coupled to a first axle of the vehicle, and a second electric machine which can be coupled to a second axle of the vehicle. The apparatus is configured to determine, on the basis of sensor data from one or more sensors in the vehicle, whether the second electric machine should be used to recuperate electric energy during a recuperation process in addition to the first electric machine. The apparatus is also configured, depending on this determination, to operate the second electric machine during the recuperation process in order to recuperate electric energy.

An in-vehicle controlling apparatus, comprising an evaluation unit configured to evaluate a sense-of-security level a passenger may feel with respect to an object present in a traveling direction of a self-vehicle, and a signal generation unit configured to generate a predetermined signal based on the sense-of-security level, wherein the evaluation unit evaluates the sense-of-security level based on a time headway and a temporal variation component of the time headway.

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.

System and techniques for test scenario verification, for a simulation of an autonomous vehicle safety action, are described. In an example, measuring performance of a test scenario used in testing an autonomous driving safety requirement includes: defining a test environment for a test scenario that tests compliance with a safety requirement including a minimum safe distance requirement; identifying test procedures to use in the test scenario that define actions for testing the minimum safe distance requirement; identifying test parameters to use with the identified test procedures, such as velocity, amount of braking, timing of braking, and rate of acceleration or deceleration; and creating the test scenario for use in an autonomous driving test simulator. Use of the test scenario includes applying the identified test procedures and the identified test parameters to identify a response of a test vehicle to the minimum safe distance requirement.

A method for operating a driving assistance system. The method includes operating at least one sensor device in a host vehicle for monitoring the surroundings of the host vehicle; recognizing a fast-moving vehicle that is traveling in a first lane adjacent to a second lane in which the host vehicle is traveling, and determining a travel speed of the fast-moving vehicle in a travel direction of the host vehicle, based on a travel speed of the host vehicle or of a following vehicle or of a preceding vehicle, by the sensor device and by a control device; identifying a movement of the fast-moving vehicle as a passing operation of the host vehicle or of the following vehicle or of the preceding vehicle; and identifying a change in the movement of the fast-moving vehicle as an abortion of the passing operation.

A travel assistance method and a travel assistance device for a vehicle is capable of avoiding any risk that may arise. The method includes obtaining a risk potential of an object detected by the vehicle, associating the risk potential of the object with an encounter location at which the object is encountered, accumulating the risk potential at the encounter location, and using the accumulated risk potential to obtain a primary estimated risk potential of the object predicted to be encountered at the encounter location. The primary estimated risk potential is lower than the risk potential obtained when detecting the object. The method further includes obtaining a secondary estimated risk potential using a predicted travel movement of another vehicle that avoids a risk due to the primary estimated risk potential, and when traveling at the encounter location again, autonomously controlling travel of the vehicle using the secondary estimated risk potential.

In a vehicle teleoperation session, a speed limit is determined for which the vehicle can be safely teleoperated. A safety system senses data relating to the vehicle environment and generates a depth map from which obstacles in the vicinity of the vehicle can be identified. Based on the detected obstacles and a motion state of the vehicle, a speed limit is determined at which the teleoperator is predicted to be able to utilize an emergency braking command to avoid a collision. The speed limit may be automatically applied to the vehicle or may be provided to the teleoperator to enable the teleoperator to adjust the vehicle speed.

A smart cruise control system includes a controller communicatively connected to a first sensor obtaining front image data and a second sensor obtaining front radar data, wherein the controller is configured to recognize a front vehicle based on the front image data and the front radar data, and in response to the front vehicle being not recognized in the front radar data and the front vehicle being recognized in the front image data, control the vehicle so that the vehicle is not accelerated even if the distance between the vehicle and the front vehicle recognized in the front image data is greater than the preset distance.

A driving assistance apparatus for a vehicle includes a surrounding environment information acquirer that acquires environment information about a surrounding of the vehicle, a leading-vehicle detector that detects a leading vehicle based on the environment information, a moving-body detector that detects a moving body in the surrounding of the vehicle based on the environment information, a vehicle-speed detector that detects a vehicle speed of the vehicle, and a region setter that sets a cut-in detection region for detecting entrance of the moving body between the vehicle and the leading vehicle when a travel controller causes the vehicle to travel such that the vehicle follows the leading vehicle. The region setter sets a protruding region that is included in the cut-in detection region based on at least the vehicle speed such that a length of protrusion in a left-right direction of the protruding region increases as the vehicle speed decreases.