Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to determine vehicle trailer weight. An example apparatus includes a first sensor disposed on a hitch coupled to a vehicle to measure a first rate of change of a weight of the vehicle. The example apparatus also includes a second sensor disposed on a chassis of the vehicle to measure a second rate of change of the weight of the vehicle. The example apparatus also includes a controller to monitor the first rate of change and the second rate of change to determine if the vehicle is improperly loaded.

Abstract: A barrier transfer machine includes a moveable chassis, an entry snout, an exit snout, a conveyor system, and a tracking system that tracks and records the locations of road barriers as they are placed on a road surface so that the last locations of the barriers can be established for evidentiary purposes and/or for alerting operators or others of mis-positioned road barriers.

Abstract: There is provided a travel control apparatus. A control unit performs, based on a recognition result of a recognition unit and map information of a periphery of the moving body, travel control of the moving body. A first determination unit determines whether a first state is set. A second determination unit determines whether a second state is set. In at least one of a case in which the first determination unit determines that the first state is set and a case in which the second determination unit has determined that the second state is set, the control unit performs travel control prioritizing the recognition result of the recognition unit over the map information.

Abstract: An apparatus includes a position circuit structured to monitor a position of an accelerator of a vehicle and a speed circuit structured to monitor a speed of the vehicle. The position corresponds with an associated response of a prime mover of the vehicle. The associated response includes at least one of a torque output and a power output of the prime mover. The apparatus further includes a response management circuit structured to receive an indication regarding the position of the accelerator and the speed of the vehicle; determine that the indication satisfies a remapping condition, the remapping condition including at least one of a creep condition, an obstacle condition, a deceleration condition, and a reverse condition; and dynamically remap the associated response of the prime mover of the vehicle based on the position of the accelerator in response to the indication satisfying the remapping condition.

Abstract: A method includes receiving data relating to pedestrian activity at one or more locations outside of a crosswalk, analyzing the data, based on the data, identifying at least one location of the one or more locations as a constructive crosswalk, and controlling operation of an autonomous vehicle based on the at least one location of the constructive crosswalk.

Abstract: A method and an apparatus of controlling a driverless vehicle and an electronic device are provided, and relates to the field of artificial intelligence technologies, such as computer vision and self-driving. The method includes: in a case that a stop instruction is received or a driverless vehicle arrives at a preset position, acquiring a first road surface image captured by a camera of the driverless vehicle that is on a same side of a door of the driverless vehicle; acquiring, based on the first road surface image, a target road surface state of road surface on one or two sides of the driverless vehicle that are provided with a door; in a case that the target road surface state is a first road surface state, controlling the driverless vehicle to stop.

Abstract: The present disclosure provides a method, an apparatus, a computer device and a computer-readable storage medium for positioning, and relates to the field of autonomous driving. The method obtains point cloud data collected by a LiDAR on a device at a current time; determines, based on the point cloud data and a global map built in a global coordinate system, global positioning information of the device in the global coordinate system at the current time; and determine, based on the point cloud data and a local map built in a local coordinate system, local positioning information of the device in the local coordinate system at the current time. A positioning result of the device at the current time is determined based on at least the global positioning information and the local positioning information. Techniques of the present disclosure can provide an effective and stable positioning service.

Abstract: A system receives a road network map that corresponds to a road network that is in an environment of an autonomous vehicle. For each of the one or more lane segments, the system identifies one or more conflicting lane segments from the plurality of lane segments, each of which conflicts with the lane segment, and adds conflict data pertaining to a conflict between the lane segment and the one or more conflicting lane segments to a set of conflict data. The system analyzes the conflict data to identify a conflict cluster that is representative of an intersection. The system groups predecessor lane segments and the successor lane segments as inlets or outlets of the intersection, generates an outer geometric boundary of the intersection, generates an inner geometric boundary of the intersection, creates a data representation of the intersection and adds the data representation to the road network map.

Abstract: Methods and systems are provided for warming vehicle tires prior to a vehicle launch event. In one example, a method may include, in response to an initiation of a burn out event while locking non-driven wheel brakes, adjusting a spinning of driven wheels based on vehicle performance parameters measured during a previous vehicle launch. In this way, a vehicle controller may control the tire warming to increase tire traction while reducing tire wear.

Abstract: A driving assistance device includes: a risk degree obtaining portion obtaining a degree of a risk of an event threatening a safety of a driver when an occurrence of the event is predicted; a risk handling control portion controlling an execution of a risk handling measure by a risk handling unit against the event that is predicted; a risk factor obtaining portion obtaining a factor which causes the risk as a risk factor; and a presentation control portion controlling a presentation of information about the risk factor. The presentation control portion presents information indicating a presence of the risk factor when the risk handling control portion controls the risk handling unit not to execute the risk handling measure and the degree of the risk is equal to or higher than a predetermined value.

Abstract: A method, apparatus, and system for filtering a point cloud generated by a LIDAR device in an autonomous vehicle is disclosed. A point cloud comprising a plurality of points is generated based on outputs of the LIDAR device. The point cloud is filtered to remove a first set of points in the plurality of points that correspond to noise based on one or more of: point intensity measurements, distances between points, or a combination thereof. Perception data is generated based on the filtered point cloud. Operations of the autonomous vehicle are controlled based on the perception data.

Abstract: Provided is a technique that when a traveling lane is determined by using a plurality of detection methods, can accurately estimate the traveling lane even if any of the detection methods is not sufficient in accuracy. A vehicle control device according to the present invention calculates integrated reliabilities by integrating reliabilities of lane estimation results by a first detector and reliabilities of lane estimation results by a second detector, and estimates a lane in which a vehicle is traveling by comparing the integrated reliabilities with each other.

Abstract: Lane configuration of a lane on which an ADV is driving and a current speed of the ADV are determined. A nudge space is determined based on the lane configuration, the current speed, and a vehicle width of the ADV. Path planning is performed to generate a path to nudge an obstacle, in response to the determining that the nudge space is greater than a predetermined threshold nudge space. The ADV is controlled to drive autonomously according to the planned path to nudge the obstacle.

Abstract: A vehicle computing system may implement techniques to determine relevance of objects detected in an environment to a vehicle operating in the environment (e.g., whether an object could potentially impact the vehicle's ability to safely travel). The techniques may include determining an initial location and trajectory associated with a detected object and determining whether the detected object may intersect a path polygon (e.g., planned path with a safety buffer) of the vehicle. A path intersection may include the detected object intersecting the path polygon or sharing a road segment with the vehicle at a substantially similar height as the vehicle (e.g., on a similar plane). Based on a determination that the detected object does not intersect the planned path of the vehicle, the vehicle computing system may determine that the detected object is irrelevant to the vehicle and may disregard the detected object in vehicle control planning considerations.

Abstract: A vehicle for predicting a risk of collision includes a controller configured to: calculate distances between the vehicle and left and right lines of a first lane, respectively, using a position of the vehicle and first lane width information of the first lane, calculate distances between the surrounding vehicle and left and right lines of a second lane, respectively, using a position of the surrounding vehicle and second lane width information of the second lane, calculate a second distance between the vehicle and the surrounding vehicle by reflecting the calculated distances between the vehicle and the left and right lines of the first lane or the calculated distances between the surrounding vehicle and the left and right lines of the second lane to a first distance, and predict a risk of collision between the vehicle and the surrounding vehicle based on the second distance.

Abstract: A lane departure prevention control apparatus includes a recognizer that recognizes environment ahead of a vehicle and detects left and right lane markers of a lane where the vehicle is traveling based on the environment, a first detector that detects vehicle behavior, a determiner that predicts whether the vehicle will depart from the lane markers based on the lane markers and the vehicle behavior, a setting unit that sets a range for permitting lane departure prevention control from the lane markers, a calculator that transmits a signal corresponding to steering torque for preventing the vehicle departure from the lane markers to a steering controller when the vehicle departs from the lane markers and the vehicle is within the control permission range, and a second detector that detects a shape change in the lane. The unit variably sets the control permission range based on the shape change.

Abstract: Techniques for performing a sensor calibration using sequential data is disclosed. An example method includes receiving, from a first camera located on a vehicle, a first image comprising at least a portion of a road comprising lane markers, where the first image is obtained by the camera at a first time; obtaining a calculated value of a position of an inertial measurement (IM) device at the first time; obtaining an optimized first extrinsic matrix of the first camera by adjusting a function of a first actual pixel location of a location of a lane marker in the first image and an expected pixel location of the location of the lane marker; and performing autonomous operation of the vehicle using the optimized first extrinsic matrix of the first camera when the vehicle is operated on another road or at another time.

Abstract: Provided is a control apparatus for a vehicle configured to perform driving support control when a driving support operation state is an on state, the control apparatus being further configured to, in a case where the driving support operation state is the on state and a driving operation switching request for changing the driving support operation state to an off state is issued, calculate a target speed at a driving operation switching time point at which the driving support operation state is changed from the on state to the off state, and perform deceleration control for decelerating the vehicle such that a speed of the vehicle matches the target speed at the driving operation switching time point.

Abstract: A rotorcraft including a pilot control having a sensor that generates pilot control position data, a flight control that controls a flight characteristic of the rotorcraft, a trim system connected to the pilot control and configured to move the pilot control, and a flight control computer (FCC) configured to receive the pilot control position data from the sensor. The FCC executes a first flight control process and generates, according to the first flight control commands, a trim signal indicating a target position for the pilot control and to send the trim signal to the trim system to cause the trim system to attempt to move the pilot control to the target position to reflect a position of the flight control, and to monitor a working state of the trim system and execute a retrim process in response to determining that the trim system has failed.

Abstract: Disclosed are an autonomous driving apparatus and method for an ego vehicle that autonomously travels. The autonomous driving apparatus includes a first sensor to detect a nearby vehicle nearby an ego vehicle, a memory to store map information, and a processor including a driving trajectory generator to generate a first driving trajectory of the ego vehicle and a second driving trajectory of the nearby vehicle based on the map information stored in the memory and a control processor configured to control autonomous driving of the ego vehicle based on the first and second driving trajectories generated by the driving trajectory generator.