Abstract: The apparatus for assisting driving of host vehicle includes a first sensor mounted to the host vehicle and having a field of view in rear of the host vehicle, the first sensor to obtain rear image data; a second sensor selected from a group consisting of a radar sensor and a LiDAR sensor and mounted to the host vehicle, the second sensor to have a field of sensing in rear of the host vehicle and obtain rear detecting data; and a controller to process the rear image data and the rear detecting data. The controller may be determine a possibility of a collision of a rear object located at the rear of the host vehicle based on processing the rear image data and the rear detecting data, and to adjust a seat of the host vehicle to a preset position based on an expected collision of the rear object.

Abstract: A system and method for determining whether a passenger is seated in a seating area and, based at least in part on detecting the passenger, engaging or disengaging a flap in a headrest. Such a headrest may span multiple seats so that a single headrest is used by multiple passengers. Each of one or more flaps in the single headrest may then be configured by the passenger to provide each passenger with their own privacy and comfort. By actively controlling the state of the flap, a uniform passenger experience may be created so that the flap is in the same state upon a passenger entering the vehicle. Further, examples of the headrest are designed and configured to couple directly, or indirectly, to a vehicle body, such that the headrest does not couple directly to a seat or passenger seating area.

Abstract: Embodiments described herein include systems and methods for predicting a transfer of control of a vehicle to a driver. A method includes receiving information about an environment of the vehicle, identifying at least one condition represented in the information about the environment of the vehicle that corresponds to at least one of one or more known conditions that lead to a handback of operational control of the vehicle to the driver, and predicting the transfer of control of the vehicle to the driver based on the at least one condition identified from the information about the environment of the vehicle.

Abstract: Fairness of a trained classifier may be ensured by generating a data set for training, the data set generated using input data points of a feature space including multiple dimensions and according to different parameters including an amount of label bias, a control for discrepancy between rarity of features, and an amount of selection bias. Unlabeled data points of the input data comprising unobserved ground truths are labeled according to the amount of label bias and the input data sampled according to the amount of selection bias and the control for the discrepancy between the rarity of features. The classifier is then trained using the sampled and labeled data points as well as additional unlabeled data points. The trained classifier is then usable to determine unbiased classifications of one or more labels for one or more other data sets.

Abstract: The present application discloses a method, system and related device of implementing vehicle automatic payment. The method includes: controlling, by a vehicle controller, a vehicle to drive automatically and stop at a payment position; obtaining, by a payment terminal, vehicle identification information of the vehicle, and determining payment amount corresponding to the vehicle identification information; sending, by the payment terminal, leaving indication information to the vehicle controller after determining that the vehicle controller pays the payment amount; and controlling, by the vehicle controller, the vehicle to start and leave the payment position when receiving the leaving indication information.

Abstract: A system and method for identifying a type of vehicle occupant based on locations of a portable device that include receiving a plurality of communication signals from the portable device and evaluating received signal strength measurements of the plurality of communication signals to determine a tracking pattern that includes a tracked path of the portable device as a user approaches a vehicle, enters the vehicle, and is seated within a particular seat of the vehicle. The system and method also include identifying the user as a driver of the vehicle or a non-driving occupant of the vehicle based on the tracking pattern and controlling at least one vehicle system by executing vehicle settings associated with the driver of the vehicle and the non-driving occupant of the vehicle based on identifying the user as the driver of the vehicle or the non-driving occupant of the vehicle.

Abstract: A method and system for estimating surface roughness of a ground for an off-road vehicle to control ground speed comprises detecting motion data of an off-road vehicle traversing a field or work site during a sampling interval. A pitch sensor is adapted to detect pitch data of the off-road vehicle for the sampling interval to obtain a pitch acceleration. A roll sensor is adapted to detect roll data of the off-road vehicle for the sampling interval to obtain a roll acceleration. An electronic data processor or surface roughness index module determines or estimates a surface roughness index based on the detected motion data, pitch data and roll data for the sampling interval. The surface roughness index can be displayed on the graphical display to a user or operator of the vehicle, or applied to control or execute a ground speed setting of the vehicle.

Abstract: A vehicle security system is provided for a vehicle having a braking system that includes a parking brake, the parking brake being capable of being switched between a driving position and a braking position. The vehicle security system is configured to secure the vehicle after an accident. The vehicle security system comprises a control unit configured to ascertain an accident of the vehicle and to switch the parking brake of the vehicle into the braking position in response to ascertaining an accident of the vehicle, and a sensor configured to capture and make available first vehicle data that represent a rotary location of the vehicle. The control unit is configured to carry out the ascertainment of an accident on the basis of the first vehicle data.

Abstract: Aspects of the disclosure relate to enabling roadside assistance to a vehicle that requires assistance having an autonomous driving mode. For instance, a technician may be assigned to the vehicle that requires assistance. A signal corresponding to user input at a remote computing device requesting a change to a state of the vehicle may be received. The signal may be based on details of the assigned technician. Based on the validation, an instruction may be sent to the vehicle to change the state of the vehicle.

Abstract: When a collision avoidance target is a pedestrian or a bicycle, a driving assistance ECU performs automatic braking control. In this case, accelerator override cannot be performed. When the collision avoidance target is an automobile and when an accelerator operation amount is equal to or larger than a first operation amount threshold, the driving assistance ECU prohibits the automatic braking control. In this case, the accelerator override can be performed. When the accelerator operation amount is smaller than the first operation amount threshold, the driving assistance ECU performs the automatic braking control.

Abstract: The techniques of this disclosure relate to a vehicle lateral-control system with dynamically adjustable calibrations. The system includes a controller circuit that receives weather data for a geographic region traveled by a vehicle. The controller circuit receives image data from a camera of a roadway traveled by the vehicle in the geographic region. The controller circuit receives vehicle-state data from one or more vehicle sensors indicating an operating condition of the vehicle on the roadway in the geographic region. The controller circuit adjusts a calibration of vehicle lateral-control features based on the weather data, the image data, and the vehicle-state data. The controller circuit operates the vehicle on the roadway based on the adjusted calibration. The system can increase passenger comfort or reduce an error from a lane centerline when the vehicle is operated in an autonomous-driving mode, which can improve operational safety.

Abstract: Disclosed are distributed computing systems and methods for controlling multiple autonomous control modules and subsystems in an autonomous vehicle. In some aspects of the disclosed technology, a computing architecture for an autonomous vehicle includes distributing the complexity of autonomous vehicle operation, thereby avoiding the use of a single high-performance computing system and enabling off-the-shelf components to be use more readily and reducing system failure rates.

Abstract: A vehicle behavior monitor installed in a host vehicle that monitors the behavior of other vehicles. When the behavior of the other vehicles appears to deviate from an expected trajectory of an in-vehicle map, a geo-fenced region is monitored by external sensors. The external sensor data stream is input to a pre-trained anomaly detector. The clusters from the feature space of the encoder are compared to a database of known behaviors. A confidence level is determined based on the number of vehicles which exhibit the behavior. If the confidence level is equal to or greater than a confidence level threshold, a persistence value is calculate based on the type of behavior. The behavior and the persistence value are used to update the in-vehicle map. Based on the persistence value, the update is transmitted to a map server when the host vehicle enters an area of high data connectivity or is dropped.

Abstract: A plurality of autonomous mobile robots includes a first mobile robot and a second mobile robot. The first mobile robot is provided with a transmitting optical sensor for outputting laser light, and a first module for transmitting and receiving an Ultra-Wideband (UWB) signal. The second mobile robot is provided with a receiving optical sensor for receiving the laser light and a plurality of second modules for transmitting and receiving the UWB signal. A control unit of the second mobile robot determines a relative position of the first mobile robot based on the received UWB signal and a determination of whether the laser light is received by the optical sensor.

Abstract: A method and system for estimating surface roughness of a ground for an off-road vehicle to control an implement comprises detecting motion data of an off-road vehicle traversing a field or work site during a sampling interval. A first sensor is adapted to detect pitch data of the off-road vehicle for the sampling interval to obtain a pitch acceleration. A second sensor is adapted to detect roll data of the off-road vehicle for the sampling interval to obtain a roll acceleration. An electronic data processor or surface roughness index module determines or estimates a surface roughness index based on the detected motion data, pitch data and roll data for the sampling interval. The surface roughness index can be displayed on the graphical display to a user or operator of the vehicle.

Abstract: A method, an apparatus, a computer storage medium and a terminal for implementing autonomous driving decision-making are disclosed. Image information is processed by the probabilistic object detection to obtain a probabilistic object detection result set containing multiple probabilistic object detection result. An uncertainty in the object detection process is estimated by the probabilistic object detection results contained in the set of the probabilistic object detection result. An environmental state information set is generated from the probabilistic object detection results in the probabilistic object detection result set and the perceptual information, then an optional action set considering the uncertainty is generated using a preset decision-making method, and an action for vehicle driving control is determined according to the optional action set and the environmental state information set.

Abstract: A vehicle control device is mounted on a vehicle including a driving actuator configured to apply a driving force and a braking actuator configured to apply a braking force. The vehicle control device includes a processor. The processor is configured to correct, when a predetermined condition including at least that the vehicle is decelerating is satisfied, the required driving force and the required braking force so as to increase the required driving force and the required braking force such that a sum of a magnitude of the required driving force and a magnitude of the required braking force is equal to or larger than a magnitude of the component of the gravity acting on the vehicle in the movement direction of the vehicle.

Abstract: A vehicle lane change control apparatus includes a condition information acquisition unit that acquires condition information of an occupant of a vehicle, a lane change rate database unit that stores a lane change rate that is determined based on a lane change pattern of a driver analyzed based on driving information when a lane of the vehicle is changed and road condition information when the lane of the vehicle is changed and indicates a speed of the lane change, and a control unit that changes the lane of the vehicle through steering control according to operation information of the vehicle, and based on the condition information of the occupant acquired by the condition information acquisition unit, controls the lane change of the vehicle by selectively using the lane change rate and a corrected lane change rate determined by increasing or decreasing the lane change rate.

Abstract: Automated driver assistance systems (ADAS) and methods that provide user-specific ADAS warnings each involve determining an identity of the driver of the vehicle, accessing a memory configured to store a set of user profiles, each user profile defining a set of ADAS warnings, identifying a target user profile based on whether the driver identity corresponds to any of the set of user profiles, including accessing one of the set of stored user profiles or creating and storing a new user profile, and, during a period after identifying the target user profile, updating the set of ADAS warnings defined by the target user profile based on the vehicle's operation and providing ADAS warnings based on the set of ADAS warnings defined by the target user profile.

Abstract: Determining yaw parameter(s) (e.g., at least one yaw rate) of an additional vehicle that is in addition to a vehicle being autonomously controlled, and adapting autonomous control of the vehicle based on the determined yaw parameter(s) of the additional vehicle. For example, autonomous steering, acceleration, and/or deceleration of the vehicle can be adapted based on a determined yaw rate of the additional vehicle. In many implementations, the yaw parameter(s) of the additional vehicle are determined based on data from a phase coherent Light Detection and Ranging (LIDAR) component of the vehicle, such as a phase coherent LIDAR monopulse component and/or a frequency-modulated continuous wave (FMCW) LIDAR component.