A method and system for localization of an autonomous vehicle in real-time disclosed. A particle filter process is used to generate an estimate of a pose of the autonomous vehicle based on a three-dimensional point cloud, a two-dimensional (2D) feature map and odometry data. A location of the autonomous vehicle in the environment is generated comprising a final pose of the vehicle determined based on the estimate of the pose of the autonomous vehicle and the odometry data, an elevation of the autonomous vehicle generated based on the final pose of the autonomous vehicle and the 2D feature map, and an orientation of the autonomous vehicle generated based on the odometry data.

A monitoring system and method determine a consumption metric representative of one or more of an amount of fuel consumed or an amount of energy consumed by a vehicle during travel over a route. The consumption metric is independent of one or more of vehicle load or elevation change over the route. The system and method optionally can determine a route condition metric representative of a condition of a route traveled upon by a vehicle. The route condition metric is based on a comparison between an actual grade of the route at one or more locations along the route and an estimated grade of the route at the one or more locations.

The disclosure is generally directed to in-vehicle advertisement systems and methods. An example method executed by processor of a vehicle may include determining an attention availability index of a driver of a vehicle and determining a first presentation duration of a first advertisement based on the attention availability index. In one scenario, the attention availability index of the driver may be determined by applying an inverse relationship to a concentration index associated with driving the vehicle. The first advertisement is presented over the first presentation duration, via an advertisement presentation device in the vehicle. In another scenario, the attention availability index of the driver may be compared to a threshold value. Based on the comparison, a second presentation duration for a second advertisement may be determined and the second advertisement presented via the advertisement presentation device in the vehicle.

An HV-ECU executes processing of steps. The steps include: a step of turning on a result display permission flag when an assist condition visible to a user is established; a step of calculating energy consumption in each travel section and total energy consumption when all the assist conditions are established and look-ahead information is updated; a step of generating a travel plan when the total energy consumption is greater than remaining energy; a step of executing switching control in accordance with the travel plan; and a step of outputting a result display when the result display permission flag is in an ON state when a vehicle reaches a destination.

A vehicle braking control method is provided. When a driver intends to drive a vehicle after the delivery of the vehicle or a factory mechanic intends to test the vehicle before the delivery of the vehicle after the engine is turned on even when a warning light is turned on due to the insufficiency of the brake fluid, a warning signal indicating that a level sensor is malfunctioning is generated using an instrument cluster, or driving torque of the engine is limited while a warning phrase indicating the insufficiency of the brake fluid is displayed using the cluster. Therefore, the vehicle may travel at a minimum speed. Thus, the driver is enabled to drive the vehicle to a safe place. Accordingly, a secondary accident is prevented and a subsequent maintenance operation is easily performed.

Techniques are disclosed for accessing sensor-based driving data prior to the installation of an application on a mobile device. Data corresponding to time intervals preceding the installation may be used to detect a trip by: identifying a first time at which the data indicates a high probability of vehicular activity and identifying a second time at which the data indicates a low probability of vehicular activity, wherein the second time instant occurs after the first time. The trip may correspond to a first time interval that extends between the first time and the second time.

A server device can obtain historical location data, concerning a vehicle, captured by a global positioning system (GPS) device of the vehicle and historical engine control unit (ECU) data concerning the vehicle captured by an ECU of the vehicle. The server device can process the historical location data and the historical ECU data to train a machine learning model to determine a relationship between the historical location data and the historical ECU data. The server device can receive location data and ECU data concerning the vehicle and update the machine learning model based on the location data and the ECU data. The server device can receive real-time location data concerning the vehicle and derive an equivalent real-time ECU speed using the machine learning model. The server device can generate a message regarding the equivalent real-time ECU speed of the vehicle and send the message to a remote device for display.

In one embodiment, a speed planning system receives speed limit information for an autonomous driving vehicle (ADV), where the speed limit information includes a change in road speed limit for a current road of the ADV. The system determines a tapered speed limit corresponding to the current road based on the speed limit information, where the tapered speed limit correspond to a gradual speed reduction from a first road speed limit to a second road speed limit. The system determines a cost function based on the tapered speed limit and the first and second road speed limits. The system generates a number of trajectory candidates based on the cost function. The system selects a trajectory based on the trajectory candidates to control the ADV using the selected trajectory.

A system and method for actuating a vehicle operation power mode that include receiving sensor data from at least one sensor of a vehicle. The system and method also include determining if at least one vehicle operation requirement is met based on analysis of the sensor data and actuating an electric powered operation mode of the vehicle based on determining that the at least one operation requirement is met. The system and method further include modifying an operation of an electric battery of the vehicle to power the vehicle through the electric battery from being charged by a fuel powered engine of the vehicle based on the actuation of the electric powered operation mode.

Methods and systems are provided for improving vehicle speed measurements. A vehicle may detect the impact of a roadway irregularity to its front wheels and its rear wheels, and may calculate an instantaneous vehicle speed on the basis of its wheelbase and an elapsed time between the two impacts. This instantaneous vehicle speed may then be used to calculate one or more correction factors which may be used to correct a conventionally-acquired vehicle speed measurement, an operational parameter of the vehicle underlying such measurements (such as a wheel size or a final drive ratio), or both.