An apparatus for controlling driving of a vehicle including a sensor that detects an input amount of an accelerator pedal applied a user and includes a controller. The controller determines an erroneous actuation of the accelerator pedal based on the input amount of the accelerator pedal and determines whether to release autonomous driving according to whether the accelerator pedal is erroneously pressed or actuated. In technology that controls autonomous driving by remotely generating autonomous driving control values, it is possible to improve the functional safety of a vehicle by determining whether to release the autonomous driving by determining a user's erroneous input or actuation of the accelerator pedal.

An information processing apparatus detects occurrence of a request to switch to manual driving during autonomous driving control of a first vehicle, acquires an utterance of a driver in a case where there is occurrence of the request to switch to manual driving, and presents, to the driver, a part of an explanation about a reason for occurrence of the request to switch to manual driving according to the utterance of the driver.

A method performed by a control unit for handling safe stop mode of a vehicle. The control unit obtains an activation request for activating the safe stop mode. When the activation request has been obtained, the control unit verifies that all safety conditions of the vehicle are fulfilled. The control unit activates the safe stop mode when the activation request has been obtained and when all safety conditions are fulfilled. The control unit triggers at least one light source to be turned on when all safety conditions are fulfilled. After the safe stop mode has been activated, the control unit obtains an inactivation request for inactivating the safe stop mode of the vehicle. The control unit inactivates the safe stop mode of the vehicle when the inactivation request has been obtained.

A vehicle control method includes: controlling a vehicle based on a lane position obtained from map information; detecting a lane boundary around the vehicle using a sensor mounted on the vehicle; and determining that the map information deviates from an actual state when a predetermined condition is met. The predetermined condition is met when a state in which a first distance is equal to or less than a first threshold continues for a first time or more or when a state in which a second distance is equal to or more than a second threshold continues for a second time or more. The first distance is a distance between a travel position of the vehicle and the detected lane boundary. The second distance is a distance between a lane boundary obtained from the map information and the detected lane boundary.

A driving control device receives power supply from an accessory battery to operate, controls automatic driving, and outputs a control signal. A steering ECU, a power ECU and a brake ECU instruct a steering mechanism, a PCU and a brake to operate based on the control signal, respectively. An emergency stop switch is operated by an operator. In a case where the emergency stop switch is operated, an interface processing device cuts off a switch to stop the power supply, shuts down the driving control device, and outputs a control signal that causes the steering mechanism, the PCU and the brake to perform an emergency stop operation.

Systems, methods and apparatuses of processing overwhelming stimuli in vehicle data recorders. For example, a data recorder can have resources, such as memory components, a controller, an inference engine, etc. The resources can be partitioned into a first subset and a second subset. Abnormal stimuli in an input stream to the recorder may cause delay for real time processing. In response, a time sliced segment of the input stream is selected and assigned to the first subset; and a remaining segment is assigned to the second subset. The first and second subsets can separately process the time sliced segment and the remaining segment in parallel and thus avoid delay in the processing of the remaining segment. An artificial neural network (ANN) can determine a width for selecting the segment processed by the first subset; and the processing result can include a preferred width used to train the ANN.

Aspects of the present invention relate to control system (100) for controlling a transition of a vehicle between a first driving mode and a second driving mode. The control system comprises one or more controllers, configured to: receive (302) a first request signal indicative of an occupant-initiated preparatory request; receive (303) a second request signal indicative of an occupant-initiated transition request; determine (304) a first control signal for controlling output of information to an occupant of the vehicle indicative of the driving environment in dependence on receipt of the first request signal; determine (308) a second control signal for causing transition of the vehicle from the first driving mode to the second driving mode in dependence on receipt of both the first request signal and the second request signal; and output (306, 310) the first or second control signal to a vehicle system.

Embodiments of the present disclosure are directed to switching a driving mode of a vehicle. A mode change request from one of a plurality of sources to switch the vehicle from a first driving mode to a second driving mode is received. In response to receiving the mode change request, a status of the vehicle is accessed, and a confirmation request is transmitted to the one of the plurality of sources. Verification of the confirmation request is made, and a driving transition mode is initialized from the first driving mode to the second driving mode based on the status of the vehicle. In response to adhering to safety conditions or safety boundaries within a duration of time, a switching signal is sent to the control system of the vehicle to switch the vehicle from the first driving mode to the second driving mode.

A method, apparatus, and computer program product are provided for identifying the reliability of objects within a mapped region for localization and facilitating autonomous control of a vehicle. Methods may include: receiving an indication of an event having event data; assigning at least one object at a location of the event an impact score based on an estimated impact of the event; and providing an indication of a reduction in autonomous vehicle capability in response to the impact score failing to satisfy a predetermined value. The impact score may include a probability that the corresponding object is reliable for localization or autonomous vehicle control. Methods may include providing the indication of a reduction in autonomous vehicle capability to at least one device associated with a vehicle in response to the at least one device associated with the vehicle having a travel path including the at least one road link.

A driving control method and apparatus are provided. The method may be applied to the intelligent vehicle field such as intelligent driving/automatic driving. The driving control method includes, after calculating a conventional path in a conventional map, the driving control apparatus searches a high-definition map for a high-definition path that matches the conventional path, and if yes, performs real-time navigation broadcast by using the conventional path, and performs automatic driving by using the found high-definition path. The driving control method and apparatus use advantages of the conventional map, for example, rich road sections and updated real-time traffic information, a more proper calculated conventional path, and a better effect of real-time navigation broadcast, and implement automatic vehicle driving by using a high-definition path, to reduce user operations, thereby improving user experience.