Abstract: Techniques for assisting a passenger to identify a vehicle and for assisting a vehicle to identify a passenger are discussed herein. Also discussed herein are techniques for capturing data via sensors on a vehicle or user device and for presenting such data in various formats. For example, in the context of a ride hailing service using autonomous vehicles, the techniques discussed herein can be used to identify a passenger of the autonomous vehicle at the start of a trip, and can be used to assist a passenger to identify an autonomous vehicle that has been dispatched for that particular passenger. Additionally, data captured by sensors of the vehicle and/or by sensors of a user device can be used to initiate a ride, determine a pickup location, orient a user within an environment, and/or provide visualizations or augmented reality elements to provide information and/or enrich a user experience.

Abstract: A vehicle dispatch support system includes a recording section at which comparison vehicle sensitivity information and candidate vehicle sensitivity information are recorded, the comparison vehicle sensitivity information being information relating to a driving sensitivity of a comparison vehicle that is a vehicle that a user has ridden in the past, and the candidate vehicle sensitivity information being information relating to a driving sensitivity of each of a plurality of candidate vehicles, a processor coupled to the recording section and configured to compute a sensitivity difference, which is a difference between the driving sensitivity expressed by the comparison vehicle sensitivity information and the driving sensitivity expressed by the candidate vehicle sensitivity information, and a display section configured to display sensitivity difference-related information, which is information based on the sensitivity difference.

Abstract: A parking assist apparatus is provided. The parking assist apparatus includes: a parking space recognizer that recognizes a plurality of parking spaces in which a vehicle parks; a parking space candidate calculator that calculates one or more parking space candidates from among the plurality of parking spaces based on an evaluation criterion of a driver and information indicating a route of a moving object around the vehicle; a display controller that displays the one or more parking spaces on a display; and a driving controller that controls driving of the vehicle toward a parking space candidate selected from among the one or more parking space candidates.

Abstract: An example operation includes one or more of powering, by a transport, one or more critical components, running, by the transport, a first set of applications on the one or more critical components, responsive to a dependency of one or more noncritical components on the one or more critical components, powering, by the transport, the one or more noncritical components, and running, by the transport, a second set of applications on the one or more noncritical components.

Abstract: Disclosed are systems, apparatuses, and methods to enhance control of a drone-load system, including through drone thrusters or load thrusters.

Abstract: A rehosted flight operation system is disclosed. The system comprises one or more controllers configured to execute program instructions. The program instructions include a rehosted flight operation module configured to generate one or more emulated flight operation subsystems, and a host flight operation module configured to generate flight operation data and flight operation commands.

Abstract: A traveling lane planning device has a processor configured to assess whether or not an approach zone exists on an adjacent lane between an event location and the current location of a vehicle, when the traveling lane plan includes a lane change from the traveling lane to the adjacent lane before the event location, to create a lane change plan in which the vehicle moves from the traveling lane to the adjacent lane after the vehicle has passed along the approach zone of the adjacent lane when it has assessed that the approach zone exists and to cause the vehicle to carry out a notification action which gives notice to the surrounding area of the vehicle that the vehicle will make a lane change from the traveling lane to the adjacent lane while the vehicle is traveling in the traveling lane along the approach zone of the adjacent lane.

Abstract: Systems and methods for generating semantic occupancy maps are provided. In particular, a computing system can obtain map data for a geographic area and sensor data obtained by the autonomous vehicle. The computer system can identify feature data included in the map data and sensor data. The computer system can, for a respective semantic object type from a plurality of semantic object types, determine, by the computing system and using feature data as input to a respective machine-learned model from a plurality of machine-learned models, one or more occupancy maps for one or more timesteps in the future, and wherein the respective machine-learned model is trained to determine occupancy for the respective semantic object type. The computer system can select a trajectory for the autonomous vehicle based on a plurality of occupancy maps associated with the plurality of semantic object types.

Abstract: An example operation includes one or more of initially determining, via one or more sensors on a transport, that the transport is approaching a one-way road in a wrong direction based on a slowing down of the transport and a movement of the transport toward the one-way road, notifying, via the one or more sensors, one or more occupants of the transport about the approaching, and in response to the transport continuing to approach in the wrong direction, slowing the transport, by a computer associated with the transport, to not permit entry into the one-way road.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using comfort scales to assess the performance of autonomous vehicles. One of the methods includes receiving data representing a traffic encounter between a vehicle and a pedestrian. A plurality of comfort scale ratings of the encounter assigned by a rater belonging to a first rater pool are received. An input element is generated for a rating transformation model configured to predict how comfort scale ratings assigned by a particular rater pool would have been assigned by a representative rater belonging to a reference rater pool. An inference pass is performed over the rating transformation model using the input element to obtain a plurality of transformed comfort scale ratings for the reference rater pool.

Abstract: A flight route control method of an unmanned aerial vehicle includes: accepting, by a touch panel, an input of a departure point and a waypoint that the unmanned aerial vehicle will pass; receiving a predetermined time, indicating an end of a time period in which the unmanned aerial vehicle is permitted to fly; generating a flight route passing through the departure point and the waypoint; determining whether or not an arrival time to the waypoint is later than the predetermined time; not accepting the waypoint for the generated flight route when the arrival time is later than the predetermined time; accepting the waypoint for the generated flight route when the arrival time is not later than the predetermined time; and transmitting a control command to the unmanned aerial vehicle, the control command controlling the unmanned aerial vehicle to fly according to the generated flight route.

Abstract: In various embodiments, methods, systems, and vehicle apparatuses are provided. A method for implementing adaptive cruise control (ACC) established by Reinforcement Learning (RL) including executing, by a processor, adaptive cruise control to receive a set of vehicle inputs about a host vehicle's operating environment and current operations; identify, by the processor, a target vehicle operating in the host vehicle environment and quantifying a set of target vehicle parameters about the target vehicle derived from sensed inputs; modeling a state estimation of the host vehicle and the target vehicle by generating a set of speed and torque calculations about each vehicle; generating a set of results from at least one reward function based on one or more modeled state estimations of the host and target vehicle; processing the set of results with driver behavior data established by RL to correlate one or more control actions to the driver behavior data.

Abstract: A computer includes a processor and a memory, the memory storing instructions executable by the processor to input a signal received from a portable device to a machine learning program trained to output a location of the portable device relative to a vehicle, collect operating data of one or more vehicle components, predict an action of a vehicle user based on the predicted location, and, based on the predicted action of the vehicle user, actuate one or more vehicle components. The machine learning program is trained with a training dataset that is updatable to include the signal, the output predicted location, the collected operating data, the predicted action, and an identified action performed by the vehicle user.

Abstract: The invention relates to an automatic payload shipment system (1) for an unmanned aerial vehicle (UAV, 3) comprising: a) an unmanned aerial vehicle (UAV, 3), b) at least one payload container (2) being configured to be automatically releasably attachable to the unmanned aerial vehicle (3), wherein the payload container (2) has a container wall (22) enclosing a container volume (22c) for goods (21) or a person, and wherein the container wall (22) comprises an energy storage (10) for providing the unmanned aerial vehicle with energy, c) a landing platform (4) for the unmanned aerial vehicle (3), the landing platform (4) comprising an elevated landing area (41) accessible by the unmanned aerial vehicle (3) from the air, a support post (8) supporting the landing area (41), the support post (8) extending upwards from the ground (101) for providing an elevation for the landing area (41), a transport system (6) for automatically transporting the payload container (2) from the landing area (41) to a terminal position

Abstract: A navigation program for an autonomous vehicle, the navigation program configured to: receive an initial model of an object to be inspected by the autonomous vehicle; identify an inspection target associated with the initial model of the object; and determine an inspection location for the autonomous vehicle from which inspection target is inspectable by an inspection system of the autonomous vehicle, wherein the initial model includes one or more convex shapes representing the object.

Abstract: A vehicle including a vehicle control device is disclosed. The vehicle control device determines whether an object is a preceding vehicle and whether a brake light of the preceding vehicle is on or off. When the object is a preceding vehicle and its brake light is on, the vehicle control device transmits a braking request that instructs a braking control device to stop the vehicle at a position at which an inter-vehicle distance between the preceding vehicle and the vehicle is equal to or larger than a first distance. When the object is a preceding vehicle and its brake light is off, the vehicle control device transmits a braking request that instructs the braking control device to stop the vehicle at a position at which the inter-vehicle distance is equal to or larger than a second distance being smaller than the first distance.

Abstract: A battery state notification apparatus for an electric vehicle includes a collision detector, an electric leakage detector, a surrounding condition detector, a vehicle exterior sounding device, and a battery state notification device. The collision detector detects a collision of the electric vehicle. The electric leakage detector detects a state of the electric leakage from the drive battery. The surrounding condition detector detects a surrounding condition including the presence of a person around the electric vehicle. The vehicle exterior sounding device outputs a sound to the outside of the electric vehicle. The battery state notification device causes the vehicle exterior sounding device to make notification about the state of electric leakage from the drive battery in a case where the collision detector detects the collision of the electric vehicle and where the surrounding condition detector detects the presence of the person around the electric vehicle.

Abstract: Certain aspects of the present disclosure provide techniques relating to wireless communications between vehicles. In certain aspects, a method performed by a first vehicle comprises receiving an indication from a second vehicle comprising surrounding information that is indicative of whether a first unknown vehicle is detected by the second vehicle, wherein the first vehicle and the second vehicle are able to communicate wirelessly, and wherein the first unknown vehicle is unable to communicate wirelessly with the first and the second vehicles. The method further comprises controlling movement of the first vehicle based on the indication.

Abstract: A method and a system for transmitting enforceable instructions in a vehicle control (VC) system includes receiving, by a cyclic redundancy check (CRC) calculator, at least one enforceable instruction from vehicle systems. The CRC calculator calculates at least one enforceable instruction CRC based at least partly on the at least one enforceable instruction and transmits the at least one enforceable instruction CRC to a back office server of the VC system and/or an on-board system of a vehicle. Methods for cyclic redundancy check (CRC) hazard mitigation in a vehicle control (VC) system and verifying enforceable instruction data on-board a vehicle are also disclosed.

Abstract: A cleaning control method and device including a cleaning robot are provided. The cleaning robot includes a sweeping member and a mopping member which cooperate with each other, and an operating parameter is obtained. A sweeping area formed in real time by the sweeping member, a mopping area formed in real time by the mopping member and a mopped area formed on a lateral side of the cleaning robot are controlled to meet a first preset relationship according to the operating parameter. The first preset relationship includes that a first distance formed between a boundary of the sweeping area closest to the mopped area and a boundary of the mopped area closest to the sweeping area is greater than or equal to a second distance between a boundary of the mopping area closest to the mopped area and a boundary of the mopped area closest to the mopping area.