Autonomous vehicle operational management may include an autonomous vehicle traversing a vehicle transportation network, which may include operating a scenario-specific operational control evaluation module instance, which is an instance of a scenario-specific operational control evaluation module…
A system receives, from a plurality of connected vehicles, respective GPS data indicating an absolute location of a respective connected vehicle and on-board sensor data indicating locations of nearby vehicles and objects relative to the respective connected vehicle. The system processes the data…
A finished vehicle logistics autonomy (FVLA) system located outside of a finished vehicle may generate driving instructions for controlling the finished vehicle to traverse a transportation network of a controlled roadway region. The FVLA system may transmit a control signal indicative of the…
An apparatus of a first vehicle includes a processor configured to detect a fault associated with a second vehicle. The processor is configured to obtain sensor data associated with a sensing region of the second vehicle. The processor is configured to provide an output, based on the sensor data…
An apparatus of a vehicle with a processor. The processor is configured to generate at least one landmark within a vehicle transportation network that includes a lane. The processor generates lane cues for the lane as the vehicle travels within the vehicle transportation network. The processor…
A method includes receiving information about vehicles traveling within a vehicle transportation network. The information comprises driveline data and information regarding lanes within the network. The driveline data comprises one or more drivelines representing a position of one of the vehicles…
Determining a speed plan for an autonomous vehicle (AV) is disclosed. A path of the AV in a lane of a road is predicted. A path of an other road user (ORU) vehicle in the lane of the road is also predicted. An interaction time between the AV and the ORU vehicle is determined. A classification of…
A vehicle including: a chassis defining a passenger seating area and a cargo area; a trim panel separating the passenger seating area from the cargo area; first, second, and third mounting brackets; and a battery assembly supported by the cross-member and including a battery and a battery case…
A method includes obtaining a risk field comprising an evidence grid established in a map frame associated with an autonomous vehicle and obtaining a reference path associated with the autonomous vehicle. The reference path is based on a drive plan and driveline data. The method includes…
A real-time accelerator pedal output of the vehicle that quantifies the extent to which the accelerator pedal is pressed by a driver over a period of time is determined. Whether a real-time speed of the vehicle is within a predefined speed range associated with a type of road being traversed is…
A vehicle including: a chassis; an electronics module that is connected to the chassis; a jack mount that is connected to the chassis and which is configured to support a jack; and a dual-function jack bracket that is connected to the jack mount and the chassis such that the jack is exclusively…
A vehicle that includes a chassis, which defines a passenger seating area, and a damper that is connected to the chassis beneath a floor panel of the vehicle such that the damper is positioned rearwardly of the passenger seating area.
A vehicle traversing a vehicle transportation network may use a scenario-specific operational control evaluation model instance. The vehicle may receive operational environment data that includes data associated with an object external to the vehicle. The vehicle may determine, based at least in…
An evidence grid is established in a map frame based on the vehicle's pose. Hazard data is accumulated in the evidence grid by gathering visible grid cells, each associated with a visibility probability indicating a history of visibility determinations, and accumulating hazard presence, with each…
System and method for efficient charge management of an electric vehicle. Historical usage data of the electric vehicle is used to forecast usage patterns and to determine optimal charging schedules according to the forecasted usage patterns and considering factors like charging costs and…
A halospinel-based solid electrolyte for an all-solid-state battery has the following composition: LiM1M2ScX, wherein X is one or more halogen; M1 is a divalent cation selected from the group consisting of Mg, Ca, Sr and Zn; M2 is one of a divalent, trivalent or tetravalent cation; 1.75≤a≤2.75…
A vehicle seat that includes at least one airbag and a regulator that is configured to control inflation and deflation thereof. The regulator includes an electronic control unit (ECU) that is in fluid communication with the at least one airbag and a silencer that is in fluid communication with the…
Vehicle decision-making is analyzed and can be used to modify a decision-making process. For subsets of features comprising a vehicle operational scenario, a first value is generated that quantifies behavior of an artificial intelligence (AI) agent as the AI agent performs a sequence of actions…
A system receives GPS data and on-board sensor data from several connected vehicles indicating locations of nearby vehicles and objects. The system processes the data to create a shared-world model that includes locations and velocities of the connected vehicles and nearby vehicles and objects, and…
An accent lighting system for a vehicle that includes a light module, which may be flexible or rigid in construction, and a transmitter. The light module includes a first inductive member, and the transmitter includes a second inductive member that is configured for electromagnetic communication…
At least one virtual road user is generated, wherein a position of a respective virtual road user of the at least one virtual road user corresponds to a border of a range of a sensor of a host vehicle approaching an intersection of a vehicle transportation network. A most relevant virtual road user…
Observed driveline mean and variance data are used for determining the variance of a trajectory of tracked objects for use by a host vehicle. A map of a portion of a vehicle transportation network are determined, wherein the map is comprised of observed driveline mean and variance data for one or…
A video of a driver of a vehicle is obtained. Based on subset of frames of the video, a series of body poses are identified. The series of body poses are identified by detecting landmark points associated with respective body parts of the driver. The landmark points correspond to coordinates of…
A mean of real-time accelerator pedal output of a vehicle that quantifies an extent to which an accelerator pedal has been pressed by a driver of the vehicle over a defined period of time is determined. Target mean accelerator pedal output for the vehicle is determined. Torque of the vehicle is…
Proactively mitigating risk to a vehicle traversing a vehicle transportation network includes identifying a location for a virtual vehicle. The virtual vehicle is added to a world object model maintained with respect to the vehicle. A trajectory is predicted for the virtual vehicle. The vehicle is…
Autonomous vehicle operations use learned constraints over beliefs to traverse a vehicle transportation network. Sensor data and user demonstration data are used to determine a belief path using a partially observable Markov decision process (POMDP) model. The belief path can be updated based on…
A vehicle is disclosed that includes: a vehicle body defining a door frame; a vehicle door that is movably connected to the vehicle body; and an actuation system. The vehicle door includes: an inner panel that is secured to the door frame; an outer panel that is secured to the inner panel; a…
Vehicle control using map-based braking includes receiving, while a driver is operating the vehicle to traverse a vehicle transportation network, vehicle operation information including at least a current speed of the vehicle, retrieving, from a planned path of an in-vehicle navigation system, an…
A storage system configured for connection to a seat in a vehicle and including: a bracket that is configured for connection to the seat; a storage compartment that is configured to accommodate at least one personal article; and a fastener that is configured to connect the bracket to the storage…
Trajectory planning include identifying state data based on sensor data from sensors of a vehicle. The state data are input to a machine-learning model to obtain parameters of a trajectory planner. The parameters are input to the trajectory planner to obtain a short term speed plan. The vehicle is…