An information processing apparatus according to an aspect of the present technology includes an estimation unit, a generation unit, and a frequency control unit. The estimation unit estimates at least one of a location or a posture of a mobile object. The generation unit generates a movement plan for moving the mobile object. The frequency control unit controls frequency of update of the movement plan to be performed by the generation unit, on the basis of load index information serving as an index of a load on the estimation unit.

Provided herein is technology relating to automated driving and particularly, but not exclusively, to a Vehicle Intelligent Unit (VIU) configured to provide vehicle operations and control for Connected Automated Vehicles (CAV) and, more particularly, to a VIU configured to connect with a Collaborative Automated Driving System (CADS) and manage and/or control information exchange between CAV and CADS and manage and/or control CAV lateral and longitudinal movements, including vehicle following, lane changing, and route guidance.

A control system for controlling a motion of a vehicle to a target driving goal uses a decision-maker configured to determine a sequence of intermediate goals leading to the next target goal by optimizing the motion of the vehicle subject to a first model and tightened driving constraints formed by tightening driving constraints by a safety margin, and uses a motion planner configured to determine a motion trajectory of the vehicle tracking the sequence of intermediate goals by optimizing the motion of the vehicle subject to the second model. The driving constraints include mixed logical inequalities of temporal logic formulae specified by traffic rules to define an area where the temporal logic formulae are satisfied, while the tightened driving constraints shrink the area by the safety margin, which is a function of a difference between the second model and the first model approximating the second model.

In order to process sensor data for a driver assistance system oriented towards the driver's comfort, sensor data that is sensed by a sensor device and describes objects is preprocessed such that a distinction is made between a driving zone and a non-driving zone, where the driving zone is designated as an object driving zone. The object driving zone is delimited by a boundary line. Since the sensor data is processed for a comfort-oriented driver assistance system, it does not have to describe the entire theoretical driving zone. Rather, the boundary line is used to delimit the driving zone within which the vehicle can normally be expected to drive. Based thereon, it is easy to determine an appropriate boundary line and significantly reduce the volume of data to be transmitted from the sensor device to a central control device of the comfort-oriented driver assistance system in order to describe the sensed objects.

Methods and systems are provided for improving vehicle torque control accuracy. Data points of an engine torque data set are adjusted en masse by an on-board vehicle controller while also being adjusted individually by an off-board controller. By adjusting engine operation based on a torque data set that is updated by each of the on-board and off-board controllers, engine torque errors can be reliably determined and compensated for.

A drive control system is provided, which is mounted on a vehicle configured to travel by operation of a driver. The drive control system includes an actuator configured to output a driving force for the vehicle to travel, an output sensor configured to detect a driving force requested by the operation of the driver, and a control device configured to control operation of the actuator based on the requested driving force detected by the output sensor. The control device sets a target output value by adding a given delay time to a requested output value set corresponding to the requested driving force, and controls the actuator so as to output the target output value based on a response characteristic of the actuator.

An information processing apparatus comprises a control unit configured to execute: sequentially performing, in a predetermined order, processing of determining whether or not operating conditions for each driving support function are satisfied with respect to each of a plurality of driving support functions included in a first vehicle; and skipping the determinations for unprocessed driving support functions when there is a driving support function for which the operating conditions are determined to be satisfied.

A method may include obtaining one or more inputs in which each of the inputs describes at least one of: a state of an autonomous vehicle (AV) or a state of an object; and identifying a prediction context of the AV based on the inputs. The method may also include determining a relevancy of each object of a plurality of objects to the AV in relation to the prediction context; and outputting a set of relevant objects based on the relevancy determination for each of the plurality of objects. Another method may include obtaining a set of objects designated as relevant to operation of an AV; selecting a trajectory prediction approach for a given object based on context of the AV and characteristics of the given object; predicting a trajectory of the given object using the selected trajectory prediction approach; and outputting the given object and the predicted trajectory.

A computer-implemented method for determining a computational effort of a virtual test of a device for driving a motor vehicle at least partly autonomously includes: providing at least one parameter set of driving situation parameters and of configuration data of a first algorithm that performs the virtual test, wherein the virtual test performed by the first algorithm simulates the at least one parameter set of driving situation parameters, and wherein the result of the simulation is used to determine at least one further parameter set of driving situation parameters that is simulated in a subsequent iteration; applying a second algorithm to the at least one parameter set of driving situation parameters and the configuration data of the first algorithm; and outputting at least one numerical value that represents the computational effort of the virtual test.

A method provides an environmental map for a vehicle, wherein the environmental map represents a section of the environment and includes cells which are each assigned to a subsection of the environment of the vehicle. Each cell is assigned occupancy information which is based on the probability of the presence of an object in the subsection assigned to the cell in question. The vehicle has a group of at least two driver assistance systems which are each configured to adopt an active and an inactive state and which, in the active state require occupancy information concerning sections of the environment which at least do not overlap completely. The method determines the driver assistance system(s) which is(are) in the active state; determines the section of the environment that the environmental map is intended to represent, on the basis of the section(s) about which the driver assistance system(s) in the active state require(s) occupancy information. In particular, the section of the environment that the environmental map is intended to represent includes the section(s) about which the driver assistance system or the driver assistance systems in the active state require(s) occupancy information when in the active state.