An apparatus of a vehicle may include one or more processors and a memory. The memory may store at least one instruction that is configured, when executed by the one or more processors communicating with the memory, to cause the apparatus to: generate, via a navigation system of the vehicle and…

Disclosed are a driving strategy learning system and method based on unified vision-language perception in a real-time driving environment. The driving strategy learning system includes an input information processing unit configured to collect and pre-process multi-sensor data, an environment…

Provided are methods for gridlock prevention, which can include obtaining sensor data, obtaining an intersection parameter, and determining a constraint. Some methods described also include generating trajectories and providing data associated with a selected trajectory, such as for operation of an…

Systems and methods are directed to generating behavioral predictions in reaction to autonomous vehicle movement. In one example, a computer-implemented method includes obtaining, by a computing system, local scene data associated with an environment external to an autonomous vehicle, the local…

Techniques are discussed for generating and optimizing trajectories for controlling autonomous vehicles in performing on-route and off-route actions within a driving environment. A planning component of an autonomous vehicle can receive or generate time-discretized (or temporal) trajectories for…

Techniques for detecting and determining a density for a non-impeding object based on correlation between radar and lidar returns are described herein. The techniques provide for receiving lidar data and radar data from a vehicle system operating in an environment. Portions of the lidar data and…

A computer system comprising a processor device configured to determine at least one travelling path for at least one vehicle is provided. The processor device is further configured to obtain an indication of wear of a drivable surface. The drivable surface comprising a set of surface areas. The…

A method for real time compatibility of artificial intelligence models with regulation scenarios, the method includes selecting, in view of environmental information relating to an initial indication of a driving scenario faced by a vehicle, at least a first artificial intelligence model, to…

A computer-implemented method, system, and computer program product for autonomous vehicle ethical decision-making. A dataset of human moral judgements regarding autonomous vehicle ethical dilemmas is obtained, such as via a moral machine framework. Furthermore, a reinforcement learning (RL) agent…

A trajectory planning system can be used to select a trajectory for an autonomous vehicle. The trajectory planning system may generate multiple trajectories and extract features from the generated trajectories. The trajectory planning system may evaluate the trajectories based on the extracted…

A method of planning a lane-level path for a vehicle includes generating a plurality of potential paths for the vehicle according to a navigation goal, wherein each of the potential paths includes a sequence of lane maneuvers for the vehicle. The method also includes producing a plurality of…

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for modeling human driving behavior. One of the methods includes continually computing, at each time step, a respective observation deviation value for a current driving policy of an agent. An…

Methods and systems are presented for planning and commanding motions of a vehicle in the plane of a road and in the vertical direction, relative to the plane of a road, to enhance vehicle performance, as it may relate to, for example, vehicle safety, occupant comfort, wear and tear on the vehicle…

A simulation may be used to determine a difference between progress of a manually-driven vehicle and progress of a simulated autonomous vehicle. The method includes retrieving log data collected for the manually-driven vehicle driving along a route, generating a plurality of path segments for a…

A method of predictability of artificial intelligence models for activation using localization, the method includes: obtaining, by a computerized system of a vehicle, cross-statistical data, analyzing, the cross-statistical data with respect to one or more first artificial intelligence models of…

Aspects of the disclosure may enable an autonomous vehicle to perform evasive maneuvers in order to avoid potential collisions. For instance, a vehicle may be controlled in an autonomous driving mode using a first trajectory generated by a first planning system. Information identifying a…

A method of determining a final path of a moving object includes acquiring pieces of sensor data, determining a first path of the moving object based on the pieces of sensor data, inputting at least one piece of sensor data among the pieces of sensor data into an encoder that encodes the at least…

A computer-implemented method for optimizing a reference trajectory for an automated vehicle operating in a confined area, the reference trajectory comprising a sequence of reference data points representing a recorded trajectory for the vehicle when following a repeated or cyclical trajectory in…

Described is a two-level optimal path planning process for autonomous tractor-trailer trucks which incorporates offline planning, online planning, and utilizing online estimation and perception results for adapting a planned path to real-world changes in the driving environment. In one aspect, a…

A system for providing autonomous driving safety map service is provided. The system for providing autonomous driving safety map service according to an embodiment includes, an autonomous vehicle which transmits anomaly information of an autonomous driving system acquired during the driving of the…

A method of determining a movement path for a vehicle includes determining a set of adjacent nodes with respect to a current node. The method includes determining, via a neural network, a subsequent path node and determining whether a path based on the subsequent path node connects a source to a…

The present disclosure provides an example method that includes: (a) obtaining context data descriptive of an environment surrounding an autonomous vehicle, the context data based on map data and perception data; (b) generating, by a proposer and based on the context data: (i) a plurality of…

Disclosed are embodiments for facilitating right-of-way-based semantic coverage and automatic labeling for trajectory generation in autonomous systems. In some aspects, an embodiment includes receiving a set of trajectories generated by a trajectory generation source, the set of trajectories…

A computer-implemented method and related aspects for closed-loop evaluation of path planning modules for a vehicle equipped with an Automated Driving System (ADS) are disclosed. The method comprises obtaining a candidate path from each of a plurality of path planning modules of the ADS, wherein…

A method and server for motion planning of an autonomous vehicle are provided. The method comprises: receiving an original dataset including a plurality of trajectories for the autonomous vehicle, the plurality of trajectories being distributed over a predetermined plurality of behaviors according…

A method (700) and device (210) for operating a Self-Driving Car (SDC) (220) are disclosed. The device executes in real-time a first processing pipeline including generating static attributes for a plurality of potential positions of the SDC (210) on a road segment (350), and caching the static…

A method of operating a robotic vehicle is provided. The method includes generating, using a prediction model, first scores, each of the first scores associated with a possible action of the robotic vehicle. The prediction model generates the first scores based, at least in part, on a predicted…

Systems and methods for operating an autonomous vehicle (AV) are provided. The method includes detecting one or more objects in an environment, predicting a first set of predicted object trajectories comprising one or more trajectories for each of the detected one or more objects, generating a…

A remote computing device may display a representation of the forward path for an autonomous vehicle based on sensor data received from the vehicle. The computing device may augment the representation of the forward path to further depict one or more proposed trajectories available for the…

A vehicle with a planning system may generate a set of candidate trajectories for controlling the vehicle. The planning system may receive sensor data from sensors. The planning system may determine, based at least in part on the sensor data, environmental data, and/or the vehicle data. The…