Abstract: A method may include obtaining, by an autonomous driving system, input information relating to an autonomous vehicle (AV). The method may include determining, by the autonomous driving system, one or more driving signals that describe operations of the AV. The method may include instructing the AV to move according to the driving signals and simulating, by a virtual driving system, movement of the AV based on the driving signals, wherein the simulating the movement of the AV occurs concurrently with the AV moving according to the driving signals as instructed.

Abstract: The present disclosure relates to a vehicle having a park-by-brake module that can control an electronic parking brake coupled to the rear wheels of a vehicle. The park-by-brake module is coupled to an antilock brake module by a controller area network architecture. In one example, a first controller area network and a second controller area network are used to couple the park-by-brake module to the antilock brake module. The controller area network architecture allows the park-by-brake module to receive commands from various control modules. Based on the received commands, the park-by-brake module activates or deactivates the electronic parking brake.

Abstract: A vehicular lane centering system is enabled responsive to speed of the vehicle exceeding a threshold speed and includes a camera and a processor. Based on processing of captured image data, the system determines position of a left lane delimiter and a right lane delimiter on the road. The system establishes a left safe zone delimiter based on the determined position of the left lane delimiter and a right safe zone delimiter based on the determined position of the right lane delimiter. With the system enabled, the system takes corrective action responsive to the vehicular lane centering system determining that the vehicle is at risk of unintentionally crossing the left safe zone delimiter or the right safe zone delimiter. When the system does not determine position of the left lane delimiter or the right lane delimiter for a first period of time, corrective action taken by the system is reduced.

Abstract: A robotic mapping and tracking system including a robot and boundary posts are disclosed. The robot includes an ultrasonic transmitter, a processor and a camera component. The boundary posts are configured to be placed adjacent to a boundary of a working region. Each boundary post of the plurality of boundary posts includes an ultrasonic receiver. Time-of-flights of the ultrasonic waves are measured to identify distances in between the robot and boundary posts. The camera component of the robot captures an image of an environment of the robot. The processor of the robot analyzes the image of the environment and identifies at least a portion of the working region in front of the robot from the image. The processor of the robot determines a moving route based on the identified portion of the working region in front of the robot and the distances in between the robot and the boundary posts.

Abstract: A system to estimate the good distribution of loading onboard an aircraft capable of carrying out a target mission. The system includes at least one operability index determination module, a module for verifying whether the distribution of loading onboard the aircraft is considered to be a good distribution by comparing the operability index of the target mission with a predetermined operability index threshold. The determination of the operability index makes it possible to know whether the aircraft can carry out a target mission in good conditions.

Abstract: There is provided a driving assistance device that executes deceleration assistance of a host vehicle when a relative situation between a deceleration object in front of the host vehicle and the host vehicle satisfies a preset deceleration assistance precondition and a driver of the host vehicle does not operate an accelerator and a brake, the driving assistance device including a first deceleration assistance execution unit configured to execute a first deceleration assistance when the deceleration assistance precondition is satisfied in a state in which the driver of the host vehicle does not operate the accelerator and the brake, and a second deceleration assistance execution unit configured to execute a second deceleration assistance when the driver releases the accelerator or the brake in a state in which the deceleration assistance precondition is satisfied.

Abstract: This disclosure describes an unmanned aerial vehicle (“UAV”) configured to autonomously deliver items of inventory to various destinations. The UAV may receive inventory information and a destination location and autonomously retrieve the inventory from a location within a materials handling facility, compute a route from the materials handling facility to a destination and travel to the destination to deliver the inventory.

Abstract: The invention relates to a method for supporting a lane changing procedure for a vehicle with a cruise control apparatus, wherein the cruise control apparatus adjusts a speed of the vehicle to a target speed, comprising the following steps: receiving environmental data on an environment of the vehicle using an input apparatus, wherein the environmental data at least comprise information on other vehicles in a target lane, determining a current traffic density and a current flow speed in the target lane based on the environmental data using an evaluation apparatus, adapting the target speed based on the determined current traffic density and the current flow speed by using the evaluation apparatus, forwarding the adapted target speed to the cruise control apparatus. The invention further relates to an associated device.

Abstract: Systems and methods for determining the location of a vehicle are disclosed. In one embodiment, a method for localizing a vehicle includes driving over a first road segment, identifying by a first localization system a set of candidate road segments, obtaining vertical motion data while driving over the first road segment, comparing the obtained vertical motion data to reference vertical motion data associated with at least one candidate road segment, and identifying, based on the comparison, a location of the vehicle. The use of such localization methods and systems in coordination with various advanced vehicle systems such as, for example, active suspension systems or autonomous driving features, is contemplated.

Abstract: Techniques for limiting motion of a first structure include a manipulator supported by the first structure, a second structure supporting the first structure, and a processor. The processor is configured to, in response to entering a first mode, determine, relative to the first structure, a first position of a reference location on entry into the first mode, the reference location being associated with a link of the manipulator; and while in the first mode: detect a manual movement of the reference location to a second position relative to the first structure, wherein a difference between the first and second positions comprises a displacement having first and second components in respective different first and second directions; and, in response, command the second structure to move relative to the reference location in the first direction so as to reduce the first component while not changing the second component.

Abstract: Automatic terrain evaluation of landing surfaces, and associated systems and methods are disclosed herein. A representative method includes receiving a request to land a movable object and, in response to the request, identifying a target landing area on a landing surface based on at least one image of the landing surface obtained by the movable object. The method can further include directing the movable object to land at the target landing area.

Abstract: A control method includes acquiring motion information of a tracked object, and based on the motion information, controlling movement of a carrying device that carries a tracking device to enable the tracking device to track the tracked object while maintaining approximately unchanged an angle between a moving direction of the tracked object and a line connecting the tracked object and the tracking device when the tracked object moves.

Abstract: A system and method for enhanced velocity resolution and signal to noise ratio in optical phase-encoded range detection includes receiving an electrical signal generated by mixing a first optical signal and a second optical signal, wherein the first optical signal is generated by modulating an optical signal, wherein and the second optical signal is received in response to transmitting the first optical signal toward an object, and determining a Doppler frequency shift of the second optical signal, and generating a corrected electrical signal by adjusting the electrical signal based on the Doppler frequency shift, and determining a range to the object based on a cross correlation of the corrected electrical signal with a radio frequency (RF) signal that is associated with the first optical signal.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for automated fleet tracking. A route management system enables fleet managers to define and assign routes for vehicles in a fleet, as well as set route tracking configurations for customized tracking of the vehicles. For example, the route tracking configuration may include customizations to the scheduled start and/or end time of a route, a threshold for determining that a vehicle has arrived and/or departed from a scheduled stop, and the like.

Abstract: A driving support apparatus includes a feedback control system. The feedback control system calculates each operation amount of a brake actuator and a drive actuator so as to match an actual value of a control amount indicating a motion state of the vehicle to a target value. The target value of the control amount is set so as to stop the vehicle to a target stop position. The driving support apparatus sets, when remaining distance from a current position of the vehicle to the target stop position is first distance, a feedback gain of the feedback control system to large value, as compared with the feedback gain set when the remaining distance is second distance which is greater than the first distance.

Abstract: A proactive pedal algorithm is used to modify an accelerator pedal map to ensure the deceleration when the accelerator pedal is released matches driver expectation. Modifying the accelerator pedal map provides the driver of a vehicle the sensation that the vehicle resists moving when travelling in dense scenes with potentially high deceleration requirements and coasts easily in scenes with low deceleration requirements. The accelerator pedal map is modified based on a scene determination to classify other remote vehicles as in-lane, neighbor-lane, or on-coming.

Abstract: A warning condition adjusting apparatus may include: a processor configured to determine whether a parking direction of an ego vehicle is a first direction or a second direction, using traveling information of a target vehicle; and to maintain a preset warning condition of a rear cross collision warning (RCCW) system when the parking direction of the ego vehicle is the first direction, and change the warning condition of the RCCW system when the parking direction of the ego vehicle is the second direction.

Abstract: An agricultural vehicle monitoring system includes first and second noncontact sensors configured for coupling with an agricultural vehicle, where the first and second noncontact sensors are configured to sense respective first and second environmental characteristics for determining a position of the agricultural vehicle in a field. The system further includes a comparative vehicle monitor in communication with the first and second noncontact sensors. The comparative vehicle monitor includes a filter module to filter outputs of the first and second noncontact sensors based on an indicator of a relative quality of the output of each sensor. The comparative vehicle monitor additionally includes an evaluation module to determine a vehicle position of the agricultural vehicle relative to at least one of the first and second environmental characteristics according to filtered outputs of the first and second noncontact sensors.

Abstract: An example method includes receiving, at a computing system, a first user input from a user interface during operation of a vehicle and responsive to receiving the first user input, determining a time of reception for the first user input. The method further includes receiving a first set of parameters from the vehicle that correspond to a first parameter identifier (PID). The method also includes determining a time of reception for each parameter, and based on the time of reception for the first user input and the time of reception for each parameter of the first set of parameters, determining a temporal position for an indicator configured to represent the first user input on a graph of the parameters corresponding to the first PID. The method further includes displaying, on a display interface, the graph of the parameters corresponding to the first PID with the indicator in the determined temporal position.

Abstract: A system and method for collecting and processing sensor data for facilitating and/or enabling autonomous, semi-autonomous, and remote operation of a vehicle, including: collecting surroundings at one or more sensors, and determining properties of the surroundings of the vehicle and/or the behavior of the vehicle based on the surroundings data at a computing system.