A driving assist method minimizes an incidence of lane changing within a circulatory roadway. In this driving assist method, a recognition assessment processor assesses the travel of a host vehicle, calculates a travel route over which the host vehicle is to travel, and executes a driving assist control based on the travel route. The recognition assessment processor further assesses whether the host vehicle has arrived at a roundabout having a circulatory roadway to which three or more radial roadways are connected. When an assessment has been made that the host vehicle has arrived at the roundabout, a position of a host vehicle entrance and a position of a host vehicle exit are specified. Furthermore, an entrance position is set based on a positional relationship between the host vehicle entrance and the host vehicle exit.

Systems and methods for managing speed thresholds for a fleet of vehicles are disclosed. Input is used to provide associations between particular weather-relation conditions (such as rain) and arithmetic operations, that may be used to determine a current speed threshold as a function of a local posted speed limit at the current location of a vehicle. The current speed threshold is subsequently used to detect whether vehicles are exceeding the current speed threshold.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for planning a trajectory of a vehicle. One of the methods includes obtaining input data for planning a driving trajectory for a vehicle, the input data comprising an intended route for the vehicle and data characterizing an environment in a vicinity of the vehicle; processing the input data using an input encoder neural network to generate feature data that includes a respective feature representation for each of a plurality of locations in the environment; applying spatial attention to the feature representations to generate a respective attention weight for each of the plurality of locations; generating a respective attended feature representation for each of the plurality of locations; generating a bottlenecked representation of the attended feature representations; and generating a planned future trajectory from at least the bottlenecked representation.

A control device is provided, which includes: a destination determining unit configured to determine a destination of a hybrid vehicle that includes an engine, a motor and a battery and is able to supply waste heat from the engine to the battery; a arrival judging unit configured to judge whether the hybrid vehicle can arrive at the destination with a remaining capacity of the battery based on the remaining capacity and a temperature of the battery; and a vehicle control unit configured to control the hybrid vehicle to start the engine and supply the waste heat from the engine to the battery when the arrival judging unit judges that the hybrid vehicle cannot arrive at the destination.

Provided herein is a system and method of a vehicle. The system comprises one or more sensors, processors, maps, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform: monitoring a location of the vehicle while driving; detecting a sign while the vehicle is driving; capturing, frame-by-frame, data of the sign until the sign disappears from a field of view of the sensor; synchronizing each frame of the data with the location of the vehicle; determining a location of the sign based on the frame-by-frame data; in response to determining, at a frame immediately before the sign disappears from the field of view of the sensor, that the vehicle is driving towards the sign, uploading the detected sign and the location of the sign onto the one or more maps; and implementing a driving action based on the sign.

Techniques for determining a location and type of traffic-related features and using such features in route planning are discussed herein. The techniques may include determining that sensor data represents a feature such as a traffic light, road segment, building type, and the like. The techniques further include determining a cost of a feature, whereby the cost is associated with the effect of a feature on a vehicle traversing an environment. A feature database can be updated based on features in the environment. A cost of the feature can be used to update costs of routes associated with the location of the feature.

Vehicle advanced driver assistance (ADAS) and autonomous driving feature simulation and verification systems and method receive a driving log file and map data corresponding to an on-road driving scenario by a vehicle and overlay the driving log file and the map data to generate combined data that localizes a position of the vehicle. A whitelist comprising a set of included objects for an ADAS/autonomous driving feature simulation and (ii) a blacklist comprising a set of excluded objects for the ADAS/autonomous driving feature simulation and a template for the ADAS/autonomous driving feature simulation are then obtained. Finally, an ADAS/autonomous driving feature simulation scenario is generated in a desired format using the white and blacklists and the template and executed using a corresponding simulation tool and a result of the executed simulation of the ADAS/autonomous driving feature simulation scenario is verified.

A method for selecting at least one connection pattern drivable by road users using a control device. Trajectory data are received from at least one area. On the basis of the received trajectory data, starting points and end points of drivable trajectories are determined. All the connection patterns between the starting points and the end points of the drivable trajectories are determined in the form of connecting lines. The determined connection patterns are filtered by at least one filter. Connection patterns remaining after filtering are compared with route profiles from the trajectory data. For each remaining connection pattern a number of route profiles which correspond to the connection pattern are counted. A connection pattern with the highest number of matching route profiles is selected. A control device, a computer program, and a machine-readable storage medium are also described.

A device for identifying a signaling unit on a road on which a vehicle is traveling is described. The device is configured to determine an arrangement of one or more signal signs of the signaling unit on the basis of environmental data of one or more environmental sensors of the vehicle. The device is further configured to assign the one or more signal signs to one or more corresponding grid cells of a signal sign grid based on assignment logic.

This invention involves the effect of multiple rules of the road at different elevation profiles on the speed constraints and therefore the overall fuel efficiency. A vehicle designed to optimize fuel consumption that is comprised of the rules of the road that determine maximum speed, minimum speed, stop signs, streetlights, and/or changes in other rules that determine the allowable speeds of the road, a localization mechanism, and an optimization engine to optimize the fuel economy by selecting a speed profile within that maintains the vehicle within the assigned range of speeds and minimizes fuel consumption. A wide variety of methods that typically are used to optimize the fuel efficiency of human drivers operating standard vehicles can also be applied towards autonomous vehicles driving at different speed constraints and with different changes in the elevation.