An apparatus for a vehicle comprises a sensor device, memory storing instructions, and a controller linked to both, enabling autonomous driving of a vehicle. The apparatus stores first sensor data associated with autonomous driving in a buffer, transferring it to a storage device based on a…
Embodiments are disclosed of a data center including a plurality of computers. A communication interface is communicatively coupled to the plurality of computers and adapted to communicate, wirelessly or by wire, between the plurality of computers, a user device, and at least one autonomous driving…
A lane marking recognition unit recognizes left and right lane markings of a subject vehicle lane in which a subject vehicle travels. A departure determination unit determines departure of a surrounding vehicle traveling in the subject vehicle lane. A continuation determination unit determines…
A hidden road parameter detection system is provided with a host vehicle. The system includes a remote vehicle having one or more remote input devices generating one or more remote input signals associated with data indicative of a host vehicle, the road parameter, and/or an obstruction blocking a…
Techniques for generating a vehicle trajectory usable for for controlling an autonomous vehicle in an environment are described herein. For example, the techniques may include a computing device implementing a machine learned model and a statistical model in parallel in a tree search of a tree…
A system for controlling sensor fusion can include a processor and a memory. The memory can store a sensor data adjustment module, a sensor fusion module, and a communications module. The sensor data adjustment module can include instructions that, when executed by the processor, cause the…
A method for operating a system that includes a motor vehicle and a server, wherein swarm data includes data sets provided on the server, each data set representing a first variable, relating to longitudinal dynamics, and/or a second variable relating to a driven path, wherein the data sets are…
The present disclosure includes a control unit that executes driving assistance of the vehicle, the control unit, the first recognition result of image recognition of the detection region in front of the vehicle, and the second recognition result of the object recognition of the detection region in…
An apparatus of a vehicle may comprise a processor and a memory storing at least one instruction that, when executed by the processor communicating with the memory, is configured to cause the apparatus to release vehicle control associated with a first autonomous driving mode stored in the memory…
A system evaluates modifications to components of an autonomous vehicle (AV) stack. The system receives driving recommendations traffic scenarios based on user annotations of video frames showing each traffic scenario. For each traffic scenario, the system predicts driving recommendations based on…
A method for classifying environmental image frames for vehicles, using a universal iterative classification model, is presented. The method combines text-based querying, active machine-learning models, and user input to form an end-to-end automatic flow for sourcing video frames captured by…
There is provided a vehicle control device including a sensor configured to detect vehicle driving information of the vehicle and object recognition information. The device may include: a transceiver; a processor; and a memory storing at least one instruction that, when executed by the processor…
A method includes determining, using a light detection and ranging (LiDAR) system, a first point cloud representing an environment of a vehicle, determining, based on the first point cloud, an autonomous driving scenario of the vehicle, and determining one or more conditions associated with the…
An information processing device disclosed herein includes: a calculation unit that calculates, for each of plural combinations of a predetermined number of pieces of sensor information among plural pieces of sensor information included in a vehicle, index values for controlling a wheel speed and…
A method for real time predictive driving maneuver assist for autonomous driving applications. The method includes identifying a location of an expected driving maneuver in a driving path of a vehicle, wherein the expected driving maneuver is associated with a scenario in the driving path of the…
Aspects of the present application correspond to utilization of a set of inputs from vision systems to generate simulations or predicted paths of travel for dynamic objects detected from the vision systems. Illustratively, a service can process the set of inputs (e.g., the associated ground truth…
Provided are various systems and processes for improving last-mile delivery of real-time, on-demand orders for perishable goods. In one aspect, a method for operating an autonomous vehicle comprises receiving real-time perception data at a planner module located on the autonomous vehicle, and…
A system for receiving user input from an internal vehicle component surface includes a flat surface layer of the internal vehicle component that includes a first portion made of an elastic material and a second portion that surrounds the first portion, and a push-button assembly located beneath…
A mobile body control device includes, an external environment detector configured to detect a peripheral mobile body, an estimated course calculator configured to calculate a first estimated course and a second estimated course, a preceding mobile body determiner configured to determine, as a…
Techniques for generating a driving surface cost landscape for determining costs for vehicle positions in an environment are described herein. A planning component within a vehicle may determine a non-preferred surface associated with a type of non-preferred area of an environment along a route of…
An autonomy computing system of an autonomous vehicle for generating a virtual fence. The autonomy computing system receives data of a plurality of temporary barriers on a road based upon analysis of sensor data from one or more sensors of the autonomous vehicle, determines a closure intent…
A computer-implemented method is disclosed for determining optimal operational parameters for a model predictive controller (MPC) for vehicle control. The method includes training a machine learning model by simulating vehicle operations across a range of operational parameters using an MPC…
A method and apparatus for controlling a vehicle based on weather information and road environment information can include obtaining weather information and wheel slip information on a road on which a vehicle is traveling, such as when a weather and road environment association mode is ON…
Disclosed herein is a method for learning to drive growing autonomous vehicles in real time based on driver interaction, which includes (a) an autonomous vehicle performing autonomous driving learning based on driving guidance information generated using information received from a driving expert…
The disclosure relates to a method for providing information on the reliability of a parametric estimation of a parameter for the operation of a vehicle, comprising at least the following steps:
In a vehicle control device , a rough-road travel unit determines whether or not there is a rough road within a predetermined range in front of a vehicle based on a position of the vehicle estimated by a position estimation unit and a position of a rough road acquired by a map information…
A trajectory planning method and a related device are provided. The method may be applied to the autonomous driving field in artificial intelligence. The method includes: obtaining first state information of a vulnerable road user, where the vulnerable road user is within a sensing range of an ego…
For one embodiment of the present invention, a computer implemented method for determining force disturbance signals for a vehicle is described. The computer implemented method includes obtaining sensor signals from a sensor system of the vehicle to monitor driving operations and to determine…
Provided is a method of learning a driving-decision algorithm. The method of learning a driving-decision algorithm for a vehicle includes: receiving a dataset related to driving from a database in which a driving scenario is stored; obtaining a first output by inputting the dataset into a first…
A method for training a behavior planner for an at least partially self-driving target vehicle on the basis of observation data regarding kinematics and/or dynamics that have been recorded during at least one test drive in a test vehicle includes identifying a driving maneuver that moves the test…