B60W60/0021

METHOD FOR SECURE DISPLAY OF INFORMATION IN A VEHICLE

Method for secure display of information in a vehicle fitted with a driver assistance system enabling detection of a connected infrastructure element that is likely to have a plurality of statuses and estimation of temporal proximity to the infrastructure element, the method including securing the display of information relating to driving events displayed on a display unit of the system.

FUEL-ECONOMY OPTIMIZATION FOR AUTONOMOUS DRIVING SYSTEMS
20230315107 · 2023-10-05 ·

A method includes identifying route data including a threshold arrival time for a route for an autonomous vehicle (AV) and calculating, based on the route data and a fuel-efficient speed value for each segment of the route, an estimated arrival time. Responsive to the estimated arrival time not meeting the threshold arrival time, the method includes identifying at least a subset of segments that each represent a candidate for speed increase, computing, for each segment in the subset and based on the fuel economy data, a correlation metric that indicates a correlation between a change in fuel economy and a change in speed for a corresponding segment in the subset, and increasing, for at least one segment from the subset and based on a respective correlation metric, a fuel-efficient speed value of the corresponding segment from the subset to provide a speed profile reflecting the increased fuel-efficient speed value.

Fuel-economy optimization for autonomous driving systems
11619944 · 2023-04-04 · ·

A method includes identifying route data including a threshold arrival time for a route for an autonomous vehicle (AV) and calculating, based on the route data and a fuel-efficient speed value for each segment of the route, an estimated arrival time. Responsive to the estimated arrival time not meeting the threshold arrival time, the method includes identifying at least a subset of segments that each represent a candidate for speed increase, computing, for each segment in the subset and based on the fuel economy data, a correlation metric that indicates a correlation between a change in fuel economy and a change in speed for a corresponding segment in the subset, and increasing, for at least one segment from the subset and based on a respective correlation metric, a fuel-efficient speed value of the corresponding segment from the subset to provide a speed profile reflecting the increased fuel-efficient speed value.

Vehicle dispatch system, vehicle dispatch server, and vehicle dispatch method

A vehicle dispatch system for dispatching an autonomous driving vehicle capable of traveling with remote assistance by a remote operator. The vehicle dispatch system comprising: a required time prediction unit for predicting the required time until the autonomous driving vehicle arrives at a point of dispatch by a route, a remote assistance request number calculation unit for calculating the remote assistance request number on a route, and a vehicle dispatch determination unit for determining the vehicle dispatch route to the point of dispatch where the autonomous driving vehicle travels based on the required time for each route and the remote assistance request number for each route, when the route search unit searched for a plurality of the routes.

User-based ethical decision making by self-driving cars
11713974 · 2023-08-01 · ·

A method, system and product for user-based ethical decision making by a self-driving vehicle. The method comprises determining an ethical preference for the self-driving vehicle based on an ethical preference of a controlling entity that is controlling over the self-driving vehicle. The ethical preference of the controlling entity is obtained based on responses of the controlling entity to an ethical questioner. The method further comprises selecting a selected outcome between two potential alternative outcomes. The selection is performed based on the ethical preference for the self-driving vehicle, and causing the self-driving vehicle to perform the selected action, whereby causing the selected outcome.

CONTROLLING METHOD FOR AUTONOMOUS DRIVING VEHICLE AND COMPUTER DEVICE
20220281488 · 2022-09-08 ·

A control method for an autonomous driving vehicle is provided. The control method comprises steps of: determining whether trigger information is received; when the trigger information is received and the autonomous driving vehicle has been located at a predetermined location at current moment, obtaining an arrival time required for a predetermined target to reach the predetermined location, the predetermined location is a preset connection location; determining whether the arrival time is greater than a preset value; when the arrival time is greater than the preset value, controlling the autonomous driving vehicle to drive to a parking area; and when the arrival time is not greater than the preset value, controlling the autonomous driving vehicle to drive according to preset rules. Furthermore, a computer device is also provided.

Information processing device and information processing method
11407430 · 2022-08-09 · ·

In an information processing device, a first acquisition portion acquires a usage end time and a usage end point of an automatic driving vehicle. A second acquisition portion acquires information about a side trip point of the automatic driving vehicle. A derivation portion derives an expected time of arrival of the automatic driving vehicle at the usage end point by way of the side trip point. A permission portion permits a drop-in at the side trip point when the expected time of arrival at the usage end point is before the usage end time.

ESTIMATING TRIP DURATION BASED ON VEHICLE REROUTE PROBABILITIES
20220219734 · 2022-07-14 ·

The subject disclosure relates to ways to improve route duration calculations e.g., estimated time of arrival (ETA) approximations, by taking consideration of reroute probabilities along a given vehicle path. In some aspects, the disclosed technology encompasses a process including steps for identifying a route between a first destination to a second destination, determining a reroute likelihood associated with at least one AV maneuver along the route, and calculating an estimated time of arrival (ETA) based on the reroute likelihood associated with at least one AV maneuver. Systems and machine-readable media are also provided.

SYSTEMS, METHODS, AND MEDIA FOR EVALUATION OF TRAJECTORIES AND SELECTION OF A TRAJECTORY FOR A VEHICLE
20220219726 · 2022-07-14 ·

Systems, methods and computer-readable media for selecting a trajectory for an autonomous vehicle are disclosed. A trajectory evaluator may be used to sort candidate trajectories according to criteria associated with a plurality of objectives. Criterion satisfaction data is generated for each candidate trajectory for each objective, indicating whether the criterion is likely to be satisfied by the candidate trajectory. Criteria are ranked by priority, which determines the sorting order. Candidate trajectories that satisfy similar criteria may be grouped into a common category, and candidate trajectories within each category may be sorted according to a cost function. The cost function may be a single universal cost function applied to all categories, or may be selected from a plurality of cost functions based on the criterion satisfaction data of the trajectories being sorted, such as a cost function specific to each category.

VEHICLE CONTROL SYSTEM AND SERVER DEVICE

Provided is a system for properly avoiding a waiting-for-entrance congestion caused by vehicles that stop on a road to enter a facility along the road. A map server 3 is configured to: acquire probe information for identifying a traveling lane in which each vehicle is traveling; acquire, based on the probe information, a congestion occurrence condition when traffic congestion repeatedly occurs in a specific lane at a specific location with a predetermined regularity; and generate, based on the congestion occurrence condition, specific lane congestion information about a congestion status in the specific lane. A control device of a vehicle acquires the specific lane congestion information delivered from the map server, and controls, based on the specific lane congestion information, traveling of the vehicle so as to avoid traffic congestion that is predicted to occur in the specific lane.