Abstract: A propulsion control system for a vehicle includes a first vehicle sensor, a second vehicle sensor, and a controller in electrical communication with the first vehicle sensor and the second vehicle sensor. The controller is programmed to determine a closed-loop noise level in a cabin of the vehicle using the first vehicle sensor. The controller is further programmed to determine an open-loop noise level in the cabin of the vehicle using the second vehicle sensor. The controller is further programmed to adjust a propulsion calibration value of the vehicle based at least in part on the closed-loop noise level and the open-loop noise level.

Abstract: Rolling launch control techniques for a vehicle involve a set of devices configured to obtain rolling launch control information including at least a start speed for a rolling drag race including the vehicle and a controller configured to control a powertrain of the vehicle such that the vehicle maintains the start speed until the start of the rolling drag race, receive a first driver input in preparation for the rolling drag race, the first driver input including at least a fully-depressed accelerator pedal, optimally adjust settings of at least one of the powertrain and a driveline of the vehicle based on the rolling launch control information, and in response to a start signal or indication for the rolling drag race, stop maintaining the vehicle start speed and launch the vehicle with the fully-depressed accelerator pedal and the optimized powertrain/driveline settings.

Abstract: Disclosed is a method of controlling regenerative braking of a hybrid vehicle, and a device thereof. The method includes: controlling, by a controller, a hybrid vehicle to start a braking operation in response to a brake pedal operation signal; and after the braking operation of the hybrid vehicle is started, controlling, by the controller, a second motor that is connected to an input shaft of a transmission of the hybrid vehicle to perform regenerative braking.

Abstract: Provided is a vehicle including an autonomous driver assistance system. The vehicle is capable of: acquiring a road image while driving; recognizing other vehicles and lanes from the acquired road image; recognizing the recognized driving pattern of the other vehicle based on the recognized location information of the other vehicle and the recognized location information of the lane, determining whether the other vehicle is a vehicle that fails to comply with a safety driving obligation based on the recognized driving pattern, outputting warning information when it is determined that the other vehicle is not complying with the safety driving obligation; determining whether a lane change is necessary based on the recognized location information of the lane of the other vehicle and the driving pattern of the other vehicle; guiding the lane change when it is determined that it is necessary to change the lane.

Abstract: A travel control device includes a first recognizer recognizing first travel environment information based on information acquired by an autonomous sensor, a second recognizer recognizing second travel environment information acquired by external communication, a main deceleration controller performing main deceleration control against an obstacle when it is determined, based on the first information, that the vehicle is traveling on a branch road merging with a main road and an obstacle may interfere with the vehicle at a merging point with the main road at a predicted time, and a preliminary deceleration controller performing preliminary deceleration control against the obstacle before the main deceleration control when it is determined, based on the second information, that the vehicle is traveling on the branch road, and the obstacle is to exist at the merging point at the predicted time and the obstacle is not recognized yet based on the first information.

Abstract: The present application provides a method and device for merging a vehicle from a branch road into a main road, an electronic device, and a storage medium, which relates to a technical field of unmanned driving. The method for merging the vehicle from the branch road into the main road includes: acquiring vehicle information of the vehicle to be merged from the branch road into the main road; acquiring traffic flow information of an outer lane of the main road within a preset range of a junction; controlling the vehicle to be merged into the main road to merge into the main road according to the preset rules based on the traffic flow information of the outer lane of the main road and the vehicle information of the vehicle to be merged into the main road.

Abstract: An illustrative example embodiment of a system for controlling a vehicle includes at least one sensor configured to detect at least one localization reference and at least one processor configured to determine a location of the vehicle with a first precision based on an indication from the at least one sensor while the vehicle is traveling in a first lane of a roadway. The processor is configured to determine that at least one characteristic of the first precision is below a threshold and, based on the at least one characteristic being below the threshold, maneuver the vehicle to a second lane of the roadway.

Abstract: A vehicle may include a camera; a storage; and a controller electrically connected to the camera and the storage. The controller may be configured to obtain a front image of the vehicle from the camera by controlling the camera, in a response to obtaining the front image, to identify image data corresponding to a license plate of a front vehicle positioned in front of the vehicle from the front image, to identify a decrease in a distance between the vehicle and the front vehicle based on the image data and reference distance information corresponding to at least one reference image data of at least one reference license plate stored in the storage, to identify a change in height of the license plate of the front vehicle based on the image data, and based on the decrease in the distance between the vehicle and the front vehicle and the change in height of the license plate of the front vehicle, to identify a speed bump located in front of the vehicle.

Abstract: A system for determining a type of a road upon which a vehicle is traveling includes a processor and a memory in communication with the processor. The memory has a road type determination module having has instructions that cause the processor to determine, using sensor data having information about at least one of a vehicle and a road upon which the vehicle is traveling, that the vehicle previously traveled on a ramp leading to a limited access highway. The road type determination module also has instructions that cause the processor to determine, using the sensor data, that the road is a limited access highway when the vehicle is traveling at or below a first predetermined speed for a first predetermined amount of time sufficiently immediately after determining that the vehicle was traveling on a ramp, and the vehicle is behind one or more preceding slow-moving vehicles.

Abstract: An occupant detection system for determining a unique position of a detected presence within an interior cabin area of a vehicle includes a plurality of signal conversion devices each including conversion circuitry. Each of the plurality of signal conversion devices are assigned to a specific position within the interior cabin area of the vehicle. The conversion circuitry for the plurality of signal conversion devices include unique sub-carrier frequency that corresponds to the unique position within the interior cabin area of the vehicle. The occupant detection system includes a wireless control module including a multi-band transceiver having a first transceiver configured to transmit and receive signals on a first frequency band and a second transceiver configured to transmit and receive signals on a second frequency band.

Abstract: Various systems and methods are provided for determining a posture of an occupant of a vehicle. In one embodiment, a method comprises capturing images of an occupant in a vehicle via a vehicle camera, determining a current posture of the occupant and a recommended posture for the occupant based on the captured images and body measurements of the occupant, and outputting a guidance based on a difference between the current posture and the recommended posture. In this way, a comfort of the occupant may be increased by guiding the occupant toward a more ergonomic posture.

Abstract: A method for enhancing driving safety is provided. A sound receiving unit receives sound with respect to a space of a vehicle. A processing unit determines whether an in-vehicle atmosphere is related to a negative emotion based on the sound thus received, and defines at least one of an unsafe driving condition or a safety enhancement program based on the determination. When a current operation of the vehicle meets the unsafe driving condition, the safety enhancement program is executed to enhance driving safety.

Abstract: A radar system for vehicles includes an antenna for outputting a radar signal and receiving a radar signal reflected from a target, a radio frequency (RF) module for generating the radar signal and providing the radar signal to the antenna, and a radar microcontroller unit (MCU) for determining a waveform of the radar signal on the basis of driving information on a vehicle.

Abstract: An information processing system according to an embodiment includes one or more hardware processors. The hardware processors acquire an n-dimensional vector. The hardware processors generate n coordinate arrays, where the n coordinate arrays is n pieces of n-dimensional arrays for which, with respect to each of elements of an m-th array (1?m?n), an element value having a same value as an index of an m-th dimensional coordinate of the elements is set. The hardware processors obtain n first probability distribution arrays including an output value of a probability density function as an element value corresponding to each of the n coordinate arrays, multiply n element values for each of elements corresponding to each of the n first probability distribution arrays, and obtain a second probability distribution array having a result of multiplication as an element value.

Abstract: Anticipatory vehicle seat actuation, including: determining, based on sensor data capturing an environment around a vehicle, a predicted environmental state corresponding to a future time and comprising the vehicle entering a turn; determining, based on the predicted environmental state, an actuation state for one or more ECUs controlling a seat state the vehicle; and configuring the seat state of the vehicle according to the actuation state before the future time.

Abstract: A method for combating a stop-and-go wave problem using deep reinforcement learning based autonomous vehicles includes selecting one of a plurality of deep reinforcement learning algorithms for training an autonomous vehicle and a reward function in a roundabout environment in which autonomous vehicles and non-autonomous vehicles are driving, determining a deep neural network architecture according to the selected deep reinforcement learning algorithm, learning a policy which enables the autonomous vehicle to drive at a closest velocity to a constant velocity based on state information including a velocity of the autonomous vehicle and a relative velocity and a relative position between the autonomous vehicle and an observable vehicle by the autonomous vehicle at a preset time interval and reward information, using the selected deep reinforcement learning algorithm, and driving the autonomous vehicle based on the learned policy to determine an action of the autonomous vehicle.

Abstract: A vehicle control device includes a recognizer configured to recognize surrounding circumstances of a vehicle; a driving controller configured to control steering and acceleration/deceleration of the vehicle; and a mode determinator configured to determine any of a plurality of driving modes including a first driving mode and a second driving mode as a driving mode of the vehicle, in which tasks imposed on a driver in the second driving mode are less significant than in the first driving mode, the driving controller controls the vehicle in the second driving mode, and the driving mode is changed to the first driving mode when an abnormality including predetermined conditions has occurred regarding one or more cameras capturing an image of an area around the vehicle or an image captured by the one or more cameras.

Abstract: A temperature estimation system and method for an electric motor of a vehicle include a set of sensors configured to measure a set of operating parameters of the electric motor including at least (i) phase current, (ii) speed, and (iii) coolant temperature and a controller configured to access a trained artificial neural network (ANN) temperature estimation model, using the trained ANN temperature estimation model with the set of electric motor operating parameters as inputs, estimate temperatures of a stator and a rotor of the electric motor, and control operation of the electric motor based on the estimated stator and rotor temperatures.

Abstract: A vehicle driving assistance device includes a processor. The processor is configured to execute acceleration suppression control for suppressing acceleration of a driver's vehicle in a case where a predetermined prohibition condition is not satisfied when an erroneous acceleration operation precondition is satisfied while a traveling condition is satisfied. The traveling condition is a condition for determining that the driver's vehicle is traveling. The erroneous acceleration operation precondition is a precondition for determining that an acceleration operation is erroneously performed. The acceleration operation is an operation performed by a driver of the driver's vehicle to request the acceleration of the driver's vehicle. The predetermined prohibition condition is based on a relationship between the driver's vehicle and an external environment of the driver's vehicle.

Abstract: The invention relates to a method for providing visual information about a first vehicle (1) in an environment (4) of a second vehicle (2). The method comprises the step of detecting a reduced visibility of the first vehicle (1) in the environment (4) of the second vehicle (2) and the steps of transmitting an image captured by a camera (7) of the first vehicle (1) to a display device of the second vehicle (2) and of integrating an object (13) representing the first vehicle (1) into the image displayed on the display device of the second vehicle (2). The object (13) is represented in the image (12) at a position which corresponds to the current position of the first vehicle (1) in the environment (4) of the second vehicle (2). The invention further relates to a computer program, a computer-readable medium and a driver assistance system (3).

Abstract: A driving support device is provided which can efficiently perform training for driving support. A driving support device (11) is equipped to a vehicle (1), and includes a driving support execution unit (201) capable of executing driving support to control steering and/or braking of the vehicle 1, and executing the driving support when the driver of the vehicle (1) performs a predetermined operation using a predetermined operator provided in the vehicle (1); and a driving support training control unit (202) which executes driving support training processing for the driver of the vehicle (1) to train the predetermined operation, in which the driving support training control unit (202) executes the training support training processing after the vehicle (1) has started up and during vehicle stop.

Abstract: The present invention is to obtain a control device and a control method capable of appropriately assisting driving of a straddle-type vehicle by a rider. In a control device (12) and a control method of the present invention, an acquisition section of the control device (12) configured to control an operation of a straddle-type vehicle (10) acquires prediction information about a future lane change by a preceding vehicle that travels ahead of the straddle-type vehicle (10), and a control section of the control device (12) causes the straddle-type vehicle (10) to execute a safety operation (for example, causes a notification device (15) to issue a warning of the lane change to the rider), when the prediction information satisfies a determination criterion during a slipping-through traveling of the straddle-type vehicle (10).

Abstract: Methods, systems, devices and apparatuses for a sound enhancement system. The sound enhancement system includes a trailer brake control unit placed on the vehicle and an electronic control unit coupled to the trailer brake control unit. The electronic control unit is configured to determine the vehicle is operating in a tow mode based on the trailer brake status, determine a magnitude of an audio signal that mimics or enhances engine sound based on the tow mode, and generate the audio signal. The sound enhancement system further includes an audio device configured to output the audio signal based at the determined magnitude.

Abstract: The present invention provides an information provision system that provides information to a driver of a straddle type vehicle, the system comprising: an acquisition unit configured to acquire information on a course of the straddle type vehicle; a specification unit configured to specify an attention portion to which attention of the driver should be paid in the course acquired by the acquisition unit; and a notification unit configured to notify the driver of the attention portion specified by the specification unit, wherein the specification unit is configured to specify the attention portion based on inclination information indicating an inclination on the course of a reference vehicle that has previously traveled on the course, and specify the attention portion based on a difference in a travel route on the course between the straddle type vehicle and a four-wheeled vehicle as the reference vehicles.

Abstract: An information presentation device includes a processor configured to (i) acquire vehicle information relating to a plurality of peripheral vehicles around an own vehicle, (ii) calculate an effect index representing an effect due to follow-up travel of traveling behind each of the plurality of peripheral vehicles based on the vehicle information for each of the plurality of peripheral vehicles, and (iii) cause an output device of the own vehicle to output position information and the effect index relating to at least a portion of the plurality of peripheral vehicles.

Abstract: A control device includes: a display control unit configured to display a candidate position image, indicating a candidate position that is a candidate of a target position, on a display device when the candidate position is detected based on a detection result of an external sensor provided in a moving object; and a reception unit configured to receive an operation of selecting a candidate position image indicating a candidate position to be set as the target position from among a plurality of candidate position images when the plurality of candidate position images are displayed on the display device. When any one of the candidate position images is selected, the display control unit displays a movement pattern image, representing a movement pattern executable by the moving object when the candidate position indicated by the candidate position image is set as the target position, on the display device.

Abstract: A driver assist system configured to accurately recognize a target vehicle in a communication area set in front of a vehicle to assist a driver to operate the vehicle. The driver assist system notifies a driver of existence of the target vehicle in the communication area. A controller comprises: a timer that measures an elapsed time from a point at which the target vehicle moved out of the communication area; and a recognizer that recognizes other vehicle as a target vehicle until the elapsed time exceeds a threshold period of time, and that cancels a recognition of other vehicle as the target vehicle when the elapsed time exceeds the threshold period of time.

Abstract: A fueling information provision system includes a storage device, a CPU serving as an execution device, and a location information obtaining device that obtains a location of a vehicle. The storage device stores fuel nozzle data about a fuel nozzle color assigned to a fuel type used by the vehicle in each of predetermined regions. The CPU transmits a notification signal indicating that the fuel nozzle color has changed when the location of the vehicle obtained by the location information obtaining device has shifted from the first region to the second region.

Abstract: A method for securely displaying ASIL-relevant data on a display device of a motor vehicle, where the device includes a transmitter unit, a receiver unit, and a display unit to show the images generated by the receiver unit. Images having higher safety ratings are shown on the display unit with less modification by an image enhancement process in comparison with images having lower safety ratings. Information about the safety rating of an image to be displayed is introduced by the transmitter unit into a data stream by a classifying binary code in color bit information of at least one pixel of the image to be displayed via a pixel matrix, in order to control a change of the image during the image enhancement process in an image enhancer associated with an image-data-outputting receiver unit for images of all safety ratings.

Abstract: The present disclosure provides a method comprising detecting an event in connection with an autonomous vehicle, wherein the detected event comprises at least one of a current state of the autonomous vehicle, an impending state of the autonomous vehicle, and an intent of the autonomous vehicle; generating an image in connection with the detected event, wherein the image comprises at least one of text information and graphics information; and displaying the generated image on at least one window of the autonomous vehicle for conveying information about the detected event to at least one user located outside the autonomous vehicle.

Abstract: A vehicle cleaner system are mounted on an autonomous driving vehicle including a vehicle control unit capable of selectively executing an autonomous driving mode and a manual driving mode. The vehicle cleaner system includes: a cleaner unit configured to clean an external sensor; and a cleaner control unit configured to control the cleaner unit. When the vehicle control unit switches from the manual driving mode to the autonomous driving mode, the vehicle control unit is configured such that, after the cleaner control unit causes the cleaner unit to clean the external sensor or after a diagnosis is performed to ascertain whether or not the external sensor needs to be cleaned, the manual driving mode is switched to the autonomous driving mode.

Abstract: A system for mapping a lane mark for use in autonomous vehicle navigation is provided. The system includes at least one processor programmed to receive two or more location identifiers associated with a detected lane mark, associate the detected lane mark with a corresponding road segment, update an autonomous vehicle road navigation model relative to the corresponding road segment based on the two or more location identifiers associated with the detected lane mark, and distribute the updated autonomous vehicle road navigation model to a plurality of autonomous vehicles.

Abstract: Methods and systems for training an autonomous vehicle (AV) motion planning model are disclosed. The system receives a log of data representing objects detected by an AV over time. The system identifies a group of sample times in the log. Each sample time represents a time at which the AV made a choice in response to a state of an object. For each of the sample times, the system will generate candidate trajectories for the AV, and it will output the candidate trajectories on a display. The system will receive a label with a rating for each candidate trajectory. The system will then save, to a data set, each of the candidate trajectories in association with its label and the data from the log for its corresponding sample time. The system may then apply the data set to an AV motion planning model to train the model.

Abstract: A method may include obtaining lidar data comprising a plurality of lidar returns from an environment of an autonomous vehicle. The lidar data may be processed with a machine learning model to generate, for the plurality of lidar returns, a plurality of first outputs that each identify a respective lidar return as belonging to an object or non-object and a plurality of second outputs that identify lidar returns belonging to objects as harmful or non-harmful to the autonomous vehicle. A subset of the lidar returns identified as belonging to objects that (i) do not correspond to any of a plurality of pre-classified objects and (ii) were identified as harmful to the autonomous vehicle may be determined. The autonomous vehicle may be controlled based at least in part on the subset of lidar returns.

Abstract: The subject disclosure relates to techniques for increasing a quality of predicted trajectories output from a trained prediction algorithm. A process of the disclosed technology can include receiving by a trained prediction algorithm, information about objects in an environment as perceived by sensors of an autonomous vehicle, receiving by the trained prediction algorithm, information about a location of the autonomous vehicle in the environment, generating by the trained prediction algorithm, a predicted trajectory for an object among the objects in the environment, wherein the predicted trajectory being anchored by a path through a tree of paths including at least two modes, wherein each mode creates a node in the tree, wherein a mode is a semantic classification of a portion of the predicted trajectory, and outputting by the trained prediction algorithm, the predicted trajectory for the object.

Abstract: This document discloses system, method, and computer program product embodiments for assessing whether a vehicle that is positioned in an off-road parking area is exhibiting intent to enter the road. If the vehicle exhibits such intent, the system may forecast a trajectory for the vehicle. If the vehicle does not exhibit such intent, a trajectory forecast may not necessarily be required. The trajectory forecasts for vehicles that do exhibit such intent may then be used by an autonomous vehicle in motion planning operations.

Abstract: A driving assistance apparatus is configured to assist in driving a vehicle and includes a combined-blind-area calculator and a driving-condition setter. The combined-blind-area calculator is configured to set potential vehicles in respective vehicle blind areas that are caused by multiple shrouds located around the vehicle and that are blind areas for the vehicle and calculate a combined blind area that is formed by at least two of potential vehicle blind areas that are caused by the multiple shrouds and that are blind areas for the respective potential vehicles. The driving-condition setter is configured to set multiple paths for moving the vehicle to a location outside the combined blind area and set a driving condition of the vehicle, based on any one of the multiple paths.

Abstract: A driving assistance method for controlling an own vehicle by a controller in such a way that the own vehicle travels along a target travel trajectory includes: acquiring level-difference information of a level difference existing along a lane in which the own vehicle travels; and when, from the level-difference information, determining that the own vehicle is to climb over the level difference, generating the target travel trajectory in such a way that a level-difference climbing-over angle, which is an angle formed by the level difference and the target travel trajectory, is larger than a threshold value.

Abstract: The vehicle control system is configured to execute autonomous driving and collision avoidance assistance. The autonomous driving is a process in which an ego-vehicle is autonomously driven based on necessary information for traveling including map information and information on a surrounding environment of the ego-vehicle. The collision avoidance assistance is a process in which the ego-vehicle is operated to avoid a collision in response to that a risk of collision of the ego-vehicle with a forward obstacle exceeds a threshold. The vehicle control system is configured to lower the threshold when the ego-vehicle travels, by the autonomous driving, in an area in which either one of an ego-lane and an opposite lane adjacent to the ego-lane is not travelable.

Abstract: Example embodiments relate to methods and systems for automatic problematic maneuver detection and adapted motion planning. A computing device may obtain a route for navigation by a vehicle and a set of vehicle parameters corresponding to the vehicle. Each vehicle parameter can represent a physical attribute of the vehicle. The computing device may generate a virtual vehicle that represents the vehicle based on the set of vehicle parameters and perform a simulation that involves the virtual vehicle navigating the route. Based on the results of the simulation, the computing device may provide the original route or a modified route to the vehicle for the vehicle to subsequently navigate to its destination. In some cases, the simulation may further factor additional conditions, such as potential weather and traffic conditions that are likely to occur during the time when the vehicle plans on navigating the route.

Abstract: A method for safe at least semi-autonomous driving operation of an ego vehicle in case of sun glare is disclosed. The method involves checking, by a computing system, whether one or more vehicle sensors of the ego vehicle are dazzled by sun glare, and if yes, detecting environmental information by a detection system of the ego vehicle. The method further involves subsequently checking, by a computing system, the environmental information for a presence of at least one dynamic object for intercepting the sun glare during driving operation of the ego vehicle, and if yes, checking, by a computing system, whether the ego vehicle can execute a driving manoeuvre in such a way that the at least one dynamic object intercepts the sun glare during driving operation of the ego vehicle. If yes, then the driving manoeuvre is executed.

Abstract: A computer-implemented method for generating unknown-unsafe scenarios for assessing and improving the safety of automated vehicles includes a first process of providing a plurality of different scenarios. To improve the safety of automated vehicles and the efficiency of designing these, a second process of reducing the plurality of different scenarios to scenarios that are unknown-unsafe scenarios is provided.

Abstract: A system for addressing failure in an autonomous agent includes a driving subsystem, a control subsystem, a central computing subsystem, and an autonomous vehicle (AV) sensor subsystem. The system can optionally additionally include a power subsystem, a vehicle chassis subsystem, a communication subsystem, a distributed computing and/or processing subsystem, a supplementary sensor subsystem, and/or any other components. A method for addressing failure can include any or all of: detecting and responding to a failure; and operating the vehicle. Additionally or alternatively, the method 200 can include any other processes.

Abstract: A method of mitigating jamming of a reflected energy ranging system for an autonomous vehicle is presented. The system comprises at least one transmission antenna, at least two receiving antennas, and a controller comprising a processor and a non-transitory computer-readable medium. The method comprises emitting an energy signal with the transmitter antenna, contacting a target with the energy signal, and reflecting the energy signal off the target and back towards the receiving antennas as a reflected energy signal. The method further comprises receiving a composite energy signal comprising at least the reflected energy signal and a jamming energy signal with the at least two receiving antennas, analyzing the composite energy signal with the processor to blindly extract at least the reflected energy signal and the jamming energy signal, and identifying which of at least the reflected energy signal and the jamming energy signal corresponds to the target with the processor.

Abstract: A control system for an autonomous vehicle is configured to pick up a passenger at a pickup location. The autonomous vehicle includes a self-driving system and one or more computing devices in communication with the self-driving system. The one or more computing devices are configured to receive a trip request including a pickup location and a destination location, the trip request being associated with a client device; cause the self-driving system to navigate the autonomous vehicle to the pickup location; send a prompt to the client device to collect semantic information; determine a specified location based on the semantic information received in response to the prompt; identify one or more semantic markers for the specified location from the semantic information; and send a message to the client device identifying the specified location using the one or more semantic markers.

Abstract: Aspects of the disclosure relate to methods for controlling a vehicle having an autonomous driving mode. For instance, sensor data may be received from one or more sensors of the perception system of the vehicle, the sensor data identifying characteristics of an object perceived by the perception system. When it is determined that the object is no longer being perceived by the one or more sensors of the perception system, predicted characteristics for the object may be generated based on one or more of the identified characteristics. The predicted characteristics of the object may be used to control the vehicle in the autonomous driving mode such that the vehicle is able to respond to the object when it is determined that the object is no longer being perceived by the one or more sensors of the perception system.

Abstract: A framework for safely operating autonomous machinery, such as vehicles and other heavy equipment, in an in-field or off-road environment, includes detecting, identifying, and tracking objects from on-board sensors configured with the autonomous machinery as it performs activities in either an agricultural setting or a transportation environment. The framework generates commands for navigational control of autonomously-operated vehicles in response to detected objects and predicted tracks thereof for safe operation in the performance of those activities. The framework processes image data and range data in multiple fields of view around the autonomously-operated to discern and track objects in a deep learning to accurately interpret this data for determining and effecting such navigational control.

Abstract: A vehicle control device includes a recognizer configured to recognize a surrounding situation of a vehicle, a driving controller configured to control the vehicle, and a first receiver configured to receive a switching operation on a driving mode. The driving controller causes the vehicle to travel in any one of a plurality of driving modes including a first mode and a second mode that a task imposed on an occupant is milder than that in the first mode, and performs acceleration/deceleration control so that a vehicle speed becomes a target speed in a state that the first mode is being executed and the second mode is executable and switches the driving mode from the first mode to the second mode when the first receiver has received an operation for switching the driving mode to the second mode in a state that the speed has become the target speed.

Abstract: According to one embodiment, a method, computer system, and computer program product for manual driving of an autonomous vehicle via a virtual steering wheel. The embodiment may include identifying a user request to manually drive an autonomous vehicle. In response to determining that driving credentials of the user are validated, the embodiment may include displaying a virtual steering wheel to the user within the autonomous vehicle. The embodiment may include providing haptic feedback to the user in response to hand-based interaction with the displayed virtual steering wheel. The embodiment may include enabling manual drive of the autonomous vehicle by the user via the displayed virtual steering wheel.

Abstract: A method of managing operator take-over of autonomous vehicle. The method includes gathering information on an external surrounding of the autonomous vehicle; analyzing the gathered information on the external surrounding of the autonomous vehicle to determine an upcoming traffic pattern; gathering information on an operator of the autonomous vehicle; analyzing the gathered information on the operator of the autonomous vehicle to determine an operator behavior; predicting an operator action based on the determined upcoming traffic pattern and the determined operator behavior; and initiating a predetermined vehicle response based on the predicted operator action. The predicting the operator action includes comparing the determined upcoming traffic pattern with a similar historic traffic pattern and retrieving a historical operator action in response to the similar historical pattern.