Abstract: The disclosure relates to methods, systems, and apparatuses for virtual sensor data generation and more particularly relates to generation of virtual sensor data for training and testing models or algorithms to detect objects or obstacles. A method for generating virtual sensor data includes simulating, using one or more processors, a three-dimensional (3D) environment comprising one or more virtual objects. The method includes generating, using one or more processors, virtual sensor data for a plurality of positions of one or more sensors within the 3D environment. The method includes determining, using one or more processors, virtual ground truth corresponding to each of the plurality of positions, wherein the ground truth comprises a dimension or parameter of the one or more virtual objects. The method includes storing and associating the virtual sensor data and the virtual ground truth using one or more processors.

Abstract: Systems, methods, and devices for pedestrian detection are disclosed herein. A method includes receiving one or more images from a rear-facing camera on a vehicle. The method further includes determining that a pedestrian is present in the one or more images, predicting future motion of the pedestrian, and notifying a driver-assistance or automated driving system when a conflict exists between forward motion of the vehicle and the predicted future motion of the pedestrian.

Abstract: The disclosure relates to methods, systems, and apparatuses for virtual sensor data generation and more particularly relates to generation of virtual sensor data for training and testing models or algorithms to detect objects or obstacles, such as wheel stops or parking barriers. A method for generating virtual sensor data includes simulating a three-dimensional (3D) environment comprising one or more objects. The method includes generating virtual sensor data for a plurality of positions of one or more sensors within the 3D environment. The method includes determining virtual ground truth corresponding to each of the plurality of positions, wherein the ground truth includes information about at least one object within the virtual sensor data. The method also includes storing and associating the virtual sensor data and the virtual ground truth.

Abstract: Methods and systems for opening an access point of a vehicle. A system and a method may involve receiving wirelessly a signal from a remote controller carried by a user. The system and the method may further involve receiving audio or video data indicating the user approaching the vehicle. The system and the method may also involve determining an intention of the user to access an interior of the vehicle based on the audio or video data. The system and the method may also involve opening an access point of the vehicle responsive to the determining of the intention of the user to access the interior of the vehicle.

Abstract: Systems, methods and apparatuses are disclosed for assessing whether a vehicle will make contact with an obstacle. The systems, methods, and apparatuses may include an obstacle sensing component configured to determine a location and a dimension of an obstacle, a vehicle sensing component configured to determine a height of a point of the vehicle relative to the ground, and a notification component configured to provide an indication of a presence of the obstacle to assist a human driver or an automated driving system in parking the vehicle without making contact with the obstacle.

Abstract: A driving assistance system includes a drive detection component, a presence component, and a notification component. The drive detection component is configured to determine that a vehicle or driver is exiting or preparing to exit a parking location. The presence component is configured to determine, from a drive history database, whether a parking barrier is present in front of or behind the parking location. The notification component is configured to provide an indication that the parking barrier is present to a human driver or an automated driving system of the vehicle.

Abstract: Systems and methods for recovering brake energy via dynamic wireless power transfer. The system may include a first charging pad disposed at a first location of a road structure and configured to receive an electric power wirelessly from a contributing vehicle. The system may further include a second charging pad disposed at a second location of the road structure and configured to receive the electric power from the first charging pad and charge a receiving vehicle wirelessly with at least a portion of the electric power.

Abstract: The disclosure relates to methods, systems, and apparatuses for virtual sensor data generation and more particularly relates to generation of virtual sensor data for training and testing models or algorithms to detect objects or obstacles, such as wheel stops or parking barriers. A method for generating virtual sensor data includes simulating a three-dimensional (3D) environment comprising one or more objects. The method includes generating virtual sensor data for a plurality of positions of one or more sensors within the 3D environment. The method includes determining virtual ground truth corresponding to each of the plurality of positions, wherein the ground truth includes information about at least one object within the virtual sensor data. The method also includes storing and associating the virtual sensor data and the virtual ground truth.

Abstract: A driving assistance system includes a drive detection component, a presence component, and a notification component. The drive detection component is configured to determine that a vehicle or driver is exiting or preparing to exit a parking location. The presence component is configured to determine, from a drive history database, whether a parking barrier is present in front of or behind the parking location. The notification component is configured to provide an indication that the parking barrier is present to a human driver or an automated driving system of the vehicle.

Abstract: A method and an apparatus pertaining to generating training data. The method may include executing a simulation process. The simulation process may include traversing one or more virtual sensors over a virtual driving environment defining a plurality of lane markings or virtual objects that are each sensible by the one or more virtual sensors. During the traversing, each of the one or more virtual sensors may be moved with respect to the virtual driving environment as dictated by a vehicle-dynamic model modeling motion of a vehicle driving on a virtual road surface of the virtual driving environment while carrying the one or more virtual sensors. Virtual sensor data characterizing the virtual driving environment may be recorded. The virtual sensor data may correspond to what an actual sensor would produce in a real-world environment that is similar or substantially matching the virtual driving environment.

Abstract: Methods and apparatus pertaining to a testbed for lane boundary detection in a virtual driving environment are provided. A method may involve generating, by a processor, a virtual driving environment comprising one or more driving lanes, a virtual vehicle, and one or more virtual sensors mounted on the virtual vehicle configured to generate simulated data as the virtual vehicle traverses within the virtual environment. The method may also involve executing an algorithm to process the simulated data to detect the one or more driving lanes. The method may further involve recording an output of the algorithm. The method may additionally involve annotating the simulated data with the output of the algorithm.

Abstract: Systems, methods and apparatuses are disclosed for assessing whether a vehicle will make contact with an obstacle. The systems, methods, and apparatuses may include an obstacle sensing component configured to determine a location and a dimension of an obstacle, a vehicle sensing component configured to determine a height of a point of the vehicle relative to the ground, and a notification component configured to provide an indication of a presence of the obstacle to assist a human driver or an automated driving system in parking the vehicle without making contact with the obstacle.

Abstract: A driving assistance system includes a drive detection component, a presence component, and a notification component. The drive detection component is configured to determine that a vehicle or driver is exiting or preparing to exit a parking location. The presence component is configured to determine, from a drive history database, whether a parking barrier is present in front of or behind the parking location. The notification component is configured to provide an indication that the parking barrier is present to a human driver or an automated driving system of the vehicle.

Abstract: A method for testing the performance of one or more anomaly-detection algorithms. The method may include obtaining sensor data output by a virtual sensor modeling the behavior of an image sensor. The sensor data may correspond to a time when the virtual sensor was sensing a virtual anomaly defined within a virtual road surface. One or more algorithms may be applied to the sensor data to produce at least one perceived dimension of the virtual anomaly. Thereafter, the performance of the one or more algorithms may be quantified by comparing the at least one perceived dimension to at least one actual dimension of the virtual anomaly as defined in the virtual road surface.

Abstract: The disclosure relates to methods, systems, and apparatuses for autonomous driving vehicles or driving assistance systems and more particularly relates to vehicle radar perception and location. The vehicle driving system disclosed may include a storage media, a radar system, a location component and a driver controller. The storage media stores a map of roadways. The radar system is configured to generate perception information from a region near the vehicle. The location component is configured to determine a location of the vehicle on the map based on the radar perception information and other navigation related data. The drive controller is configured to control driving of the vehicle based on the map and the determined location.

Abstract: A method for generating training data. The method may include executing a simulation process. The simulation process may include traversing one or more virtual sensors over a virtual road surface defining a plurality of virtual anomalies that are each sensible by the one or more virtual sensors. During the traversing, each of the one or more virtual sensors may be moved with respect to the virtual road surface as dictated by a vehicle-motion model modeling motion of a vehicle driving on the virtual road surface while carrying the one or more virtual sensors. Virtual sensor data characterizing the virtual road surface may be recorded. The virtual sensor data may correspond to what a real sensor would have output had it sensed the road surface in the real world.

Abstract: A vehicle may include an electric machine, a traction battery, and a solar panel array. The vehicle may further include circuitry electrically connected with the battery and array. The circuitry may include at least one switch configured to close when activated by a calibrated maximum holding power to permit energy to flow from the array to the battery.

Abstract: A vehicle may include an electric machine, a traction battery, and a solar panel array. The vehicle may further include circuitry electrically connected with the battery and array. The circuitry may include at least one switch configured to close when activated by a calibrated maximum holding power to permit energy to flow from the array to the battery.

Abstract: A power system may perform charge balancing for a vehicle. The power system may include a battery including a plurality of modules, each module including a cell and associated resistive circuitry. The system may also include at least one controller configured to, in response to a cell achieving a threshold voltage and/or SOC, activate the associated resistive circuitry for the cell and reduce a charge current applied to the battery to prevent the cell from acquiring additional charge.

Abstract: A plug-in hybrid electric vehicle operates the engine and/or traction motor in response to energy costs or prices received from an external source, such as a user or network. The vehicle can include a battery; an engine; an electric motor; a memory to store a battery charge point, and a controller to modify the battery charge point in response to arbitration criteria to control battery charging from the engine. The arbitration criteria can be based at least partially on fuel cost for the engine. The arbitration criteria can be based at least partially on electricity cost. The arbitration criteria can also include location of the vehicle. The controller may alter a deadband between charging the battery with the engine and discharging the battery to power the traction motor based on the arbitration criteria.