Abstract: Methods for determining routes for routing vehicle include computing, in a digital map a route from route source to route destination. Such methods further include determining sub-route of the computed route, which ends at the destination and along which the vehicle could be parked. And such methods still further include extending the computed route beyond the route destination in area around the route destination until route parking probability of parking route, including links of the determined sub-route and/or of the extension of the computed route, is equal to or greater than predetermined threshold whilst total expected travel time, associated with the extended computed route and comprising driving and walking times, is minimized. The route parking probability is the probability that parking at some point along the extended computed route will be possible and wherein one or more links of the parking route are suitable for parking.

Abstract: A method and system for diagnosing autonomous vehicles is disclosed. The method includes identifying anomaly in a set of navigation parameters from a plurality of navigation parameters associated with the autonomous vehicle, such that each of the set of navigation parameters is above an associated risk threshold. The method further includes validating anomaly identified for each of the set of navigation parameters. The method includes generating a set of quality parameters for the set of navigation parameters in response to validating anomaly in the set of navigation parameters. The method further includes generating values of at least one motion parameter associated with the autonomous vehicle based on values of each of the set of quality parameters fed into a trained Artificial Intelligence (AI) model. The method includes controlling the at least one motion parameter based on the generated values.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for audio augmentation of physical robot sounds. A robot can determine that a first physically moveable component of the robot is to be actuated and in response, obtain a conditional state of the robot. The robot can obtain an audio object that generates an audio enhancement for the first physically moveable component being actuated, the audio enhancement having one or more characteristics that match the obtained conditional state of the robot. The robot can output the audio enhancement while actuating the first physically moveable component.

Abstract: In one embodiment, a system/method generates a driving trajectory for an autonomous driving vehicle (ADV). The system perceives an environment of an autonomous driving vehicle (ADV). The system determines one or more bounding conditions based on the perceived environment. The system generates a first trajectory using a neural network model, wherein the neural network model is trained to generate a driving trajectory. The system evaluates/determines if the first trajectory satisfies the one or more bounding conditions. If the first trajectory satisfies the one or more bounding conditions, the system controls the ADV autonomously according to the first trajectory. Otherwise, the system controls the ADV autonomously according to a second trajectory, where the second trajectory is generated based on an objective function, where the objective function is determined based on at least the one or more bounding conditions.

Abstract: There is provided a method for avoiding the collision of an autonomous vehicle, the method including: setting collision detection areas including first and second collision detection areas based on a state of a first vehicle and a collision detection target at a location adjacent to the first vehicle; and determining the possibility of a collision between the first vehicle and the collision detection target using the collision detection areas of the first vehicle and the collision detection target; wherein setting the collision detection areas includes maintaining an attribute of the first collision detection area and changing an attribute of the second collision detection area in response to a change in the state of the first vehicle and the collision detection target.

Abstract: A system and method for evaluation of a route score for an electric vehicle are disclosed. The system includes a route path characteristic score computation subsystem configured to compute a route path characteristic score of one or more routes between two or more distant locations based on one or more topological parameters and one or more scheduled activity parameters, a traffic score computation subsystem configured to compute a traffic score in real-time, an environment score computation subsystem configured to compute an environment score in the real-time, an overall route score computation subsystem configured to compute an overall route score in the real-time, a vehicle-level route score computation subsystem configured to compute a vehicle-level route score for a particular electric vehicle, an overall fleet-level route score computation subsystem configured to compute an overall fleet-level route score after aggregating the vehicle-level route score.

Abstract: A system includes one or more electronic devices of an autonomous vehicle and a computer-readable storage medium having one or more programming instructions. The system identifies an actor in an environment of the autonomous vehicle that is exhibiting unrecognized behavior or that has exhibited unrecognized behavior within a certain time period, and generates a circle associated with the actor, wherein the circle has a radius that is a function of a velocity of the actor. The system identifies one or more target points associated with the actor, where each target point represents a point along a possible route of the actor, and each target point is located along a circumference of the circle. The system assigns a score to each target point, selects the target point associated with the lowest score, and generates a reference path from the actor to the selected target point.

Abstract: The present application generally relates to a method and apparatus for controlling an autonomous vehicle. In particular, the method and apparatus are operative for detecting, by a sensor, an object within a first vehicle path, generating, by a processor, a second vehicle path in response to either the detection of the object such that the second vehicle path avoids the object, or a user initiated trajectory shift, generating, by the processor, an initial steering torque in response to the second vehicle path, performing, by the processor, an adaptation on the initial steering torque to generate an adapted steering torque in response to the initial steering torque exceeding a torque rate limit, and controlling, by a vehicle controller a host vehicle steering system to follow the second vehicle signal path in response to the adapted steering torque.

Abstract: Systems and methods for remote operating and/or monitoring of a robot are disclosed. In some exemplary implementations, a robot can be communicatively coupled to a remote network. The remote network can send and receive signals with the robot. In some exemplary implementations, the remote network can receive sensor data from the robot, allowing the remote network to determine the context of the robot. In this way, the remote network can respond to assistance requests and also provide operating commands to the robot.

Abstract: A steering control method for a vehicle including a steer-by-wire type wheel-turning mechanism in which a steering wheel and steered wheels are mechanically disconnected, the method including: detecting an actual steering angle of the steering wheel; calculating a target steering angle of the steering wheel on a basis of a target wheel-turning angle of the steered wheels; applying a steering reaction force to the steering wheel according to an angle deviation between the actual steering angle and the target steering angle; detecting a steering operation of the steering wheel by a driver; and when the steering operation by the driver is detected, reducing the steering reaction force according to the angle deviation compared with when the steering operation by the driver is not detected.

Abstract: Embodiments include methods, for a wireless device, to determine one or more preferred routes for an electric vehicle powered by a battery. Such methods include determining multiple candidate routes from a starting point to a destination. Each candidate route includes one or more segments, each segment associated with a slope and a distance. Such methods include, for each candidate route, estimating a route battery discharge amount and a route duration of travel based on a discharge profile for the battery and the slopes and distances associated with the segments of the candidate route. Such methods include selecting one or more preferred routes, from the candidate routes, based on a current state of charge for the battery, the route battery discharge amounts, and the route durations of travel. Other embodiments include wireless devices configured to perform such methods, and electric vehicles operably coupled to such wireless devices.

Abstract: The present invention provides a method, system, terminal, and storage medium for rapid generation of reference lines. Path planning points are classified according to driving difficulty of different road segments, and the segments with low driving difficulty are assigned reference lines obtained by geometric processing; the segments with high driving difficulty are assigned reference lines obtained by algorithmic processing in combination with vehicle dynamics constraints. Then the reference lines of all segments are combined to form a complete reference line. This method requires little system resource and the algorithm consumes less time.

Abstract: In some examples, a system may determine a plurality of routes between a source location and a destination location. Further, the system may segment each route of the plurality of routes into multiple road segments. The system may determine a first field of view (FOV) for each road segment. In addition, the system may receive vehicle sensor configuration information for vehicle sensors on board a vehicle. The system may determine a second FOV for the vehicle sensors. Additionally, the system may select a route for the vehicle based at least on comparing the second FOV with the first FOV for a plurality of the road segments.

Abstract: A method for planning the motion of a vehicle includes: determining a nominal trajectory for the vehicle based on a desired maneuver to be carried out in a traffic space, on a current state of movement of the vehicle and on a detected state of a surrounding of the vehicle, and determining an abort trajectory branching off from the nominal trajectory and guiding the vehicle to a safe condition regardless of the desired maneuver, wherein the nominal trajectory and the abort trajectory are determined simultaneously using a single optimization process.

Abstract: The arithmetic device configured to perform a calculation for controlling a motion of a grasping apparatus that performs work involving a motion of sliding a grasped object includes: an acquisition unit configured to acquire a state variable indicating a state of the grasping apparatus during the work; a storage unit storing a learned neural network that has been learned by receiving a plurality of training data sets composed of a combination of the state variable acquired in advance and correct answer data corresponding to the state variable; an arithmetic unit configured to calculate a target value of each of various actuators related to the work of the grasping apparatus by inputting the state variable to the learned neural network read from the storage unit; and an output unit configured to output the target value of each of the various actuators to the grasping apparatus.

Abstract: A method, an apparatus, an electronic device and a storage medium for displaying an AR navigation are provided. The method may include: recognizing a navigation scene at a current moment during an AR navigation; determining, according to a preset mapping relationship between a navigation scene and a service function, a current service function corresponding to the navigation scene at the current moment; and displaying the current service function corresponding to the navigation scene at the current moment in the navigation scene at the current moment. According to embodiments of the present disclosure, different service functions may be flexibly displayed for different navigation scenes. Therefore, a multi-channel output in the different navigation scenes may be realized, thus saving maintenance time and a maintenance cost.

Abstract: A system described herein may provide a technique for selectively adding or forgoing adding shortcut links to a node map using contraction hierarchy techniques based on turn costs. “Useful” turn pairs for a given path through a shortcut link may include a turn into a first node of the shortcut link and a turn out of a second node of the shortcut link, where no alternative lower cost paths (including such “useful” turn pairs) from the first node to the second node are available. The useful turn pairs for a shortcut link may be used to evaluate super shortcut links that includes the shortcut link with identified useful turn pairs. For example, a search for alternative lower cost paths may need not be performed for paths, associated with the super shortcut link, which do not include a turn from the useful turn pairs of the component shortcut link.

Abstract: Embodiments of the disclosure provide a method and device for robot interactions. In one embodiment, a method comprises: collecting to-be-processed data reflecting an interaction output behavior; determining robot interaction output information corresponding to the to-be-processed data; controlling a robot to execute the robot interaction output information to imitate the interaction output behavior; collecting, in response to an imitation termination instruction triggered when the imitation succeeds, interaction trigger information corresponding to the robot interaction output information; and storing the interaction trigger information in relation to the robot interaction output information to generate an interaction rule.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for generating a navigation route and a storage medium. The method includes: determining navigation points from a start point to an end point according to a preset navigation algorithm; determining a target panoramic point according to coordinates of the navigation points and a coordinate of a preset panoramic point; and performing fitting according to the navigation points and the target panoramic point to generate a navigation route map.

Abstract: Provided is a robot including: a chassis; wheels; electric motors; a network card; sensors; a processor; and a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: capturing, with at least one exteroceptive sensor, a first image and a second image; determining, with the processor, an overlapping area of the first image and the second image by comparing the raw pixel intensity values of the first image to the raw pixel intensity values of the second image; combining, with the processor, the first image and the second image at the overlapping area to generate a digital spatial representation of the environment; and estimating, with the processor using a statistical ensemble of simulated positions of the robot, a corrected position of the robot to replace a last known position of the robot within the digital spatial representation of the environment.