Abstract: A system for facilitating communication in regard to a user in labor may include a first electronic device associated with the user, a set of second electronic devices associated with emergency contacts, and a server. The server may be configured to retrieve coordinates of a predetermined location, a current position of the user, and vehicle information corresponding to a vehicle in which the user is traveling to the predetermined location. The server may transmit a command to activate an electronic sign associated with the vehicle to indicate the labor status. The server may transmit a first notification including the vehicle information and an estimated time of arrival to the one or more second electronic devices. The server may determine whether the user is in an emergency state and output a second notification including information related to the emergency state to the one or more second electronic devices.

Abstract: Aspects of the disclosure relate to determining whether a vehicle should continue through an intersection. For example, the one or more of the vehicle's computers may identify a time when the traffic signal light will turn from yellow to red. The one or more computers may also estimate a location of a vehicle at the time when the traffic signal light will turn from yellow to red. A starting point of the intersection may be identified. Based on whether the estimated location of the vehicle is at least a threshold distance past the starting point at the time when the traffic signal light will turn from yellow to red, the computers can determine whether the vehicle should continue through the intersection.

Abstract: Cautious driving and cautious driving speed determination for an autonomous vehicle is responsive to receiving a non-yield backup prediction for the vehicle regarding a traffic participant in a region of interest in a road network surrounding the vehicle, the non-yield backup prediction including a non-yield probability value for the traffic participant not yielding to the vehicle. Driving information, including speed, for other traffic participants within the region of interest is obtained from a sensor system, and an average speed of the other traffic participants is determined. A driving system determines a cautious driving speed for the vehicle by calculating a reverse probability value, which is a reverse percentage of the non-yield probability value relative to a maximum value for it, and multiplying the average speed of the other traffic participants by the reverse probability value. The driving system controls the vehicle to reduce its speed to the cautious driving speed.

Abstract: In one embodiment, a method includes receiving a sequence of location data points associated with a vehicle from a first source and a sequence of motion data points associated with the vehicle from a second source. The method includes determining a first turn angle of the vehicle based on at least one location data point in the sequence of location data points associated with the first source. The method includes determining that an additional location data point in the sequence of location data points is inaccurate. The method includes determining a second turn angle of the vehicle by using at least one motion data point in the sequence of motion data points corresponding to the additional location data point that is inaccurate. The method includes determining a turn trajectory of the vehicle by using at least the first turn angle and the second turn angle.

Abstract: This invention provides a system-oriented and fully-controlled connected automated vehicle highway system for various levels of connected and automated vehicles and highways. The system comprises one or more of: 1) a hierarchical traffic control network of Traffic Control Centers (TCC's), local traffic controller units (TCUs), 2) A RSU (Road Side Unit) network (with integrated functionalities of vehicle sensors, I2V communication to deliver control instructions), 3) OBU (On-Board Unit with sensor and V2I communication units) network embedded in connected and automated vehicles, and 4) wireless communication and security system with local and global connectivity. This system provides a safer, more reliable and more cost-effective solution by redistributing vehicle driving tasks to the hierarchical traffic control network and RSU network.

Abstract: A method for determining a set speed of an assistance system for controlling a longitudinal movement of a vehicle involves checking a route ahead of the vehicle with a predefined total route length to determine whether, on this total route length, there are areas with a free-flowing traffic state, areas with a slow-moving and/or congested traffic state, and areas with a gridlocked traffic state. A route length of each area is determined. Depending upon these determinations, it is decided whether the set speed is to be defined by the assistance system and to which of multiple predefined speed values the set speed is to be set.

Abstract: An object of the present invention is to display a list of traffic information of a plurality of lanes. A map display device of the present invention includes a traffic information acquisition unit that acquires traffic information for a road including a plurality of lanes for each lane, and a display control unit that creates a road map image that represents a road for each lane using map data having lane link data, and causes a display device mounted on a vehicle to display thereof, in which the display control unit superimposes the traffic information on the corresponding lane in the road map image.

Abstract: A multi-geomagnetic sensor speed measurement system comprises a geomagnetic vehicle detection module, a data transmission module, a data reception module and a backend data processing module. When measuring, the geomagnetic vehicle detection module collects the geomagnetic data when the vehicle passes and processes it to obtain temporal data; the backend processing module receives the data for data cleaning; the backend processing module selects the reference sensors and opens individual time windows; the backend processing module processes the temporal data based on the number of temporal data in the time window; in the case of duplicate-detection, a measurement threshold ? is set and the temporal data is merged based on the threshold ?; in the case of mis-detection, the data is interpolated to make up for the mis-detection; based on the alignment result, a minimum variance method is used to estimate the speed of the vehicle.

Abstract: The technology relates to controlling a vehicle in an autonomous driving mode, the method. For instance, a vehicle may be maneuvered in the autonomous driving mode using pre-stored map information identifying traffic flow directions. Data may be received from a perception system of the vehicle identifying objects in an external environment of the vehicle related to a traffic redirection not identified the map information. The received data may be used to identify one or more corridors of a traffic redirection. One of the one or more corridors may be selected based on a direction of traffic flow through the selected corridor. The vehicle may then be controlled in the autonomous driving mode to enter and follow the selected one of the one or more corridors based on the determined direction of flow of traffic through each of the one or more corridors.

Abstract: In accordance with one embodiment of the present disclosure, method includes obtaining multi-level environment data corresponding to a plurality of driving environment levels, encoding the multi-level environment data at each level, extracting features from the multi-level environment data at each encoded level, fusing the extracted features from each encoded level with a spatial-temporal attention framework to generate a fused information embedding, and decoding the fused information embedding to predict driving environment information at one or more driving environment levels.

Abstract: Location technologies are combined with other information systems to provide augmented information for individuals such as a traveler in an automobile.

Abstract: Each of multiple vehicle data collection devices are configured to collect data streams associated with operation of a vehicle. The data streams include time-stamped speed data. A transmitter is configured to transmit the data streams. An analytics server is configured to receive the data streams transmitted by the transmitter and to process the data. In connection with the processing, data streams with at least one common time stamp are identified. The time-stamped speed for one of the data streams at a first time interval is compared to the time-stamped speed for another of the identified plurality of data streams at a second time interval, where the second time interval comprises the first time interval plus an additional time increment. Based on the comparison, it is determined whether the two of the plurality of data streams are associated with a same trip or a different trip.

Abstract: A map information-providing system, a map information-providing method, and a map information-providing program which can provide map information while suppressing incongruity a recipient feels are provided. A navigation system-(map information-providing system) includes a storage unit-storing map information for navigation (first map information) and map information for autonomous driving (second map information) an updating period thereof is different from the map information for navigation with respect to at least a portion of a period of time, and a map information-providing unit which performs driving guidance by providing at least a portion of items to be provided by the map information for navigation using the map information for autonomous driving in a case where the map information for autonomous driving bad been updated based on newer information than the map information for navigation at a time of performing driving guidance.

Abstract: Vehicle alerts can be presented to the driver of a vehicle based on behaviors. It can be determined whether the driver will avoid an identified risk at a current location of the vehicle. Such a determination can be based on the past driving behavior of the driver and/or a general driving behavior of one or more other drivers. It can be determined whether to present an alert about the identified risk based on whether the driver will avoid the identified risk. In response to determining to that an alert about the identified risk should be presented, an intensity level for the alert can be determined. The alert can be caused to be presented to the driver at the determined intensity level.

Abstract: The present disclosure relates to an apparatus and methods of estimating a traffic volume of moving objects. In particular, the present disclosure estimates the traffic volume based on amounts of traffic volume of the moving objects observed at observation points based on a routing matrix and a visitor matrix. The routing matrix indicates whether moving objects that pass through specific waypoints are to be observed at an observation point. The visitor matrix indicates whether a moving object departing or arriving at the observation point. The present disclosure enables estimating a traffic volume of moving objects on various routes based on observed data with errors in data and varying lengths in observation periods.

Abstract: A system for controlling a plurality of autonomous vehicles on a mine site comprises a centralized platform configured to store an inventory list of vehicles travelling on the mine site and configured to determine and communicate missions to the vehicles of a plurality of autonomous vehicles. The autonomous vehicles may comprise an interface configured to communicate with the centralized platform for receiving a predetermined mission, a trajectory control system configured to autonomously control the autonomous vehicle according to the predetermined mission, a detection system configured to detect other vehicles by evaluating sensor information received from at least one sensor of the vehicle, a collision prediction system configured to predict collisions with the other vehicles detected by the detection system, and a V2V communication interface for directly communicating with a V2V communication interface of at least one of the other vehicles on the mine site for exchanging information between the vehicles.

Abstract: An example method involves detecting a sensor-testing trigger. Detecting the sensor-testing trigger may comprise determining that a vehicle is within a threshold distance to a target in an environment of the vehicle. The method also involves obtaining sensor data collected by a sensor of the vehicle after the detection of the sensor-testing trigger. The sensor data is indicative of a scan of a region of the environment that includes the target. The method also involves comparing the sensor data with previously-collected sensor data indicating detection of the target by one or more sensors during one or more previous scans of the environment. The method also involves generating performance metrics related to the sensor of the vehicle based on the comparison.

Abstract: An example operation includes one or more of detecting, by a server, a target transport operating in an unsafe manner, locating, the by the server, at least one autonomous transport in front of the target transport, and maneuvering the at least one autonomous transport to affect the target transport.

Abstract: Disclosed herein are various embodiments for performing a delta merge with location data. An embodiment operates by receiving a command to merge a delta storage with an original main storage. A coordinate system corresponding to a plurality of data entries of location-based data in the delta storage is identified. A coordinate system specification, corresponding to one of the identified coordinate system, is added to a metadata of a new version of the main storage. A merge operation is performed between the delta storage and the original main storage, in which the plurality of data entries of the delta storage are copied to a container portion of the new version of the main storage, separate from the metadata. The plurality of data entries of the delta storage are deleted and the original main storage is replaced with the new version of the main storage.

Abstract: One or more computer processors encode a plurality of time sequenced global position system (GPS) datapoints onto a grided dimensional area; determine a general trajectory between each time sequenced GPS datapoint in the plurality of encoded time sequenced GPS datapoints and a subsequent encoded time sequenced GPS datapoint; cluster the encoded time sequenced GPS datapoints based on a respective determined trajectory with a plurality of encoded historical GPS datapoints; calculate an azimuth for each encoded time sequenced GPS datapoint in the plurality of time sequenced GPS datapoints utilizing a plurality of adjacent historical GPS datapoints contained within a respective cluster; generate a plurality of interpolated GPS datapoints utilizing calculated azimuths, determined general trajectories, and historical GPS datapoints; and aggregate the generated interpolated GPS datapoints with the plurality of time sequenced GPS datapoints into an interpolated route, wherein each GPS datapoint in the interpolated ro

Abstract: Systems and methods are provided for operating a vehicle using dynamic speed limits. A vehicle can monitor current road conditions by capturing real-time data that is indicative of a driving environment associated with a roadway being traversed by the vehicle. Using the captured real-time data, the vehicle can predict a dynamic speed limit, wherein the dynamic speed limit is a driving speed for the vehicle that is adapted for the monitored current road conditions. Additionally, the vehicle can automatically perform a driving operation for the vehicle in accordance with the dynamic speed limit, wherein the driving operation causes the vehicle to move at a driving speed that is approximately equal to the predicted dynamic speed limit.

Abstract: Systems and methods for detecting electromagnetic emissions to monitor and manage road traffic. In one implementation, a system is provided for determining at least one of location, speed, and direction of vehicles on a roadway. The system comprising at least one receiver configured for placement at one or more fixed locations along the roadway to detect a plurality of non-reflected electromagnetic emissions originating from a plurality of vehicles. The system further comprise at least one processor configured to receive signal information from the at least one receiver and to identify in the plurality of non-reflected electromagnetic emissions an electromagnetic waveform of a vehicle. The at least one processor may calculate at least one of a Doppler effect, a phase difference, or a time difference of non-reflected electromagnetic emissions associated with the identified electromagnetic waveform, and determine at least one of a location, speed, and direction of the vehicle.

Abstract: A system includes a plurality of tracking devices, such as RFID tags, affixed to items, such as vehicles, a data collection engine, client devices and backend devices. The backend devices include trained machine learning models, business logic, and attributes of a plurality of events. A plurality of data collection engines and systems send attributes of new events to the backend devices. The backend devices can track the items and predict particular outcomes of new events based upon the attributes of the new events utilizing the trained machine learning models.

Abstract: A method and an apparatus for outputting signal light information are provided. The method may include: acquiring guidance information and positioning information of a terminal, where the guidance information includes a turning information piece of a turning at a nearest intersection along a traveling direction of the terminal; acquiring information pieces of a signal light at the nearest intersection of the terminal; determining, in response to determining that the terminal satisfies a preset position condition based on the positioning information, from the signal light information pieces, a signal light information piece corresponding to the turning information piece in the guidance information, and using the signal light information piece as a target signal light information piece; and outputting the target signal light information piece.

Abstract: A method for determining space allocation and signal timing of an isolated signalized intersection consists of at least one remote server and a processing module that is communicably coupled with the at least one remote server. A plurality of traffic-related data, wherein the plurality of traffic-related data reflects activity at the isolated signalized intersection, is received through the processing module. A space determination process is performed on the plurality of traffic-related data through the processing module. Next, a timing determination process is performed on the plurality of traffic-related data through the processing module in order to minimize the average intersection delay at the isolated signalized intersection. Based upon the results from the space determination process and the timing determination process a cycle length is determined for the isolated signalized intersection.

Abstract: A method for determining space allocation and signal timing of an isolated signalized intersection consists of at least one remote server and a processing module that is communicably coupled with the at least one remote server. A plurality of traffic-related data, wherein the plurality of traffic-related data reflects activity at the isolated signalized intersection, is received through the processing module. A space determination process is performed on the plurality of traffic-related data through the processing module. Next, a timing determination process is performed on the plurality of traffic-related data through the processing module in order to minimize the average intersection delay at the isolated signalized intersection. Based upon the results from the space determination process and the timing determination process a cycle length is determined for the isolated signalized intersection.

Abstract: An approach is provided for automatically verifying a road closure report. The approach, for example, involves determining one or more features of probe data collected from a plurality of vehicles traveling on a connected set of road links of a closure link graph. The closure link graph, for instance, comprises a road link indicated by the road closure report, one or more upstream links from the road link, one or more downstream links from the road link, or a combination thereof. The approach also involves evaluating a closure probability of the road link indicated by the road closure report based on the one or more features. The road closure report is then automatically verified based on the closure probability.

Abstract: A method for determining space allocation and signal timing of an isolated signalized intersection consists of at least one remote server and a processing module that is communicably coupled with the at least one remote server. A plurality of traffic-related data, wherein the plurality of traffic-related data reflects activity at the isolated signalized intersection, is received through the processing module. A space determination process is performed on the plurality of traffic-related data through the processing module. Next, a timing determination process is performed on the plurality of traffic-related data through the processing module in order to minimize the average intersection delay at the isolated signalized intersection. Based upon the results from the space determination process and the timing determination process a cycle length is determined for the isolated signalized intersection.

Abstract: A method for determining space allocation and signal timing of an isolated signalized intersection consists of at least one remote server and a processing module that is communicably coupled with the at least one remote server. A plurality of traffic-related data, wherein the plurality of traffic-related data reflects activity at the isolated signalized intersection, is received through the processing module. A space determination process is performed on the plurality of traffic-related data through the processing module. Next, a timing determination process is performed on the plurality of traffic-related data through the processing module in order to minimise the average intersection delay at the isolated signalized intersection. Based upon the results from the space determination process and the timing determination process a cycle length is determined for the isolated signalized intersection.

Abstract: A system and method for assisting drivers of vehicles are described. The systems and methods provide an extended view of the area surrounding the driver's vehicle while providing real-time object trajectory for objects and other vehicles that may enter the driver's reactionary zone. The system and methods capture images of the area surrounding the driver's vehicle and create a composite image of that area in real-time and using Augmented Reality (AR) create a 3-D overlay to warn the driver as objects or other vehicles enter the driver's reactionary zone so that a driver can make more informed driving decisions.

Abstract: Presented are intelligent vehicle systems with networked on-body vehicle cameras with camera-view augmentation capabilities, methods for making/using such systems, and vehicles equipped with such systems. A method for operating a motor vehicle includes a system controller receiving, from a network of vehicle-mounted cameras, camera image data containing a target object from a perspective of one or more cameras. The controller analyzes the camera image to identify characteristics of the target object and classify these characteristics to a corresponding model collection set associated with the type of target object. The controller then identifies a 3D object model assigned to the model collection set associated with the target object type. A new “virtual” image is generated by replacing the target object with the 3D object model positioned in a new orientation. The controller commands a resident vehicle system to execute a control operation using the new image.

Abstract: A traffic management system for controlling an AGV includes a sensor arranged proximate to an intersection between first and second passages in a logistics facility. The sensor transmits sensing beams into the second passage to detect presence of a vehicle in the second passage. The sensor transmits sensor signals based on the presence of the vehicle in the second passage. The traffic management system includes a traffic controller receiving the sensor signals and communicating with the AGV causing the AGV to stop at a stopping location in the first passage and restrict movement of the AGV into the second passage when the object is detected.

Abstract: A method for determining space allocation and signal timing of an isolated signalized intersection consists of at least one remote server and a processing module that is communicably coupled with the at least one remote server. A plurality of traffic-related data, wherein the plurality of traffic-related data reflects activity at the isolated signalized intersection, is received through the processing module. A space determination process is performed on the plurality of traffic-related data through the processing module. Next, a timing determination process is performed on the plurality of traffic-related data through the processing module in order to minimize the average intersection delay at the isolated signalized intersection. Based upon the results from the space determination process and the timing determination process a cycle length is determined for the isolated signalized intersection.

Abstract: A method and system for assisting operation of an ego-vehicle in the traffic situation with shared traffic space is provided, in which a future path for the ego-vehicle and a future path for another traffic participant and a relevant path corridor for each determine future path is determined. Based thereon, an overlap of the path corridors to define a shared traffic space is determined and individual distance measures between the ego-vehicle and the shared traffic space and between the other traffic participant and the shared traffic space are calculated to determine an asymmetry. Based on the asymmetry an order is determined and (partially) automated in accordance with trajectory determined based on the order, or information on the intended passing order is provided to the ego-vehicle driver.

Abstract: An apparatus receives instances of probe data each comprising location data. The apparatus identifies instances of probe data corresponding to a first traversable map element (TME) of a current map version based on the location data and the current map version. The apparatus determines a current traffic measure for the first TME based on the probe data. The apparatus determines a historical traffic measure corresponding to a second TME of a previous map version that corresponds to the first TME of the current map version and a scaling factor for the first and second TMEs. The apparatus determines a scaled historical traffic measure by applying the scaling factor to the historical traffic measure and compares the current traffic measure and the scaled historical traffic measure. Responsive to determining that the comparison does not satisfy a similarity threshold requirement, the apparatus generates updated map/traffic data for the first TME.

Abstract: A vehicle management method includes calculating, based on a desired condition of each user sharing a ride on a vehicle, a first route for the vehicle to travel and a first required time for the vehicle to arrive at a destination on the first route, when a delay time with respect to the first required time exceeds a predetermined time while the vehicle is traveling along the first route, setting an alternative boarding location for a boarding location or an alternative deboarding location for a deboarding location based on the desired condition of each user, calculating a second route including the alternative boarding location or the alternative deboarding location and a second required time for the vehicle to arrive at a destination on the second route, and notifying the users of at least the alternative boarding location or the alternative deboarding location and the second required time.

Abstract: Example systems and methods allow for reporting and sharing of information reports relating to driving conditions within a fleet of autonomous vehicles. One example method includes receiving information reports relating to driving conditions from a plurality of autonomous vehicles within a fleet of autonomous vehicles. The method may also include receiving sensor data from a plurality of autonomous vehicles within the fleet of autonomous vehicles. The method may further include validating some of the information reports based at least in part on the sensor data. The method may additionally include combining validated information reports into a driving information map. The method may also include periodically filtering the driving information map to remove outdated information reports. The method may further include providing portions of the driving information map to autonomous vehicles within the fleet of autonomous vehicles.

Abstract: A method includes receiving sensor data associated with one or more inputs associated with a road portion, determining a level of risk associated with each of the one or more inputs, determining an estimated amount of computing resources that each of a plurality of candidate computing methods will consume, and selecting one or more computing methods from the plurality of candidate computing methods to associate with the one or more inputs based on the levels of risk associated with the one or more inputs and the estimated amount of computing resources that the candidate computing methods will consume.

Abstract: A lamp system for traffic lane indication using a navigation link may include a multi-function sensor sensing an environment and a line in front of a host vehicle, a line lamp generating and outputting a prediction line at a location corresponding to a line of a road, a navigation device providing location information of the host vehicle, and a vehicle controller predicting a forward line based on a line sensed by the multi-function sensor, and the location information of the host vehicle provided by the navigation device and controlling the line lamp to output the prediction line to follow the predicted forward line.

Abstract: In identifying vehicle navigation requirements using augmented reality, one vehicle determines that an event has occurred that concerns operation of the vehicle. The vehicle determines its current location, creates a notification message corresponding to navigation requirements matching the current location and the event, and sends the notification message. Another vehicle receives the notification message. In response, the other vehicle determines its current environment and a correlation between the navigation requirements and the current environment. An augmented reality system of the other vehicle displays alerts for the navigation requirements overlaid on a display of the current environment based on the correlation. I this manner, vehicle drivers are alerted to the navigation requirements applicable in particular locations or jurisdictions.

Abstract: A device that includes a sensor unit and a processing unit. The sensor unit is configured to detect at least one measured value at a predetermined point in time. The processing unit is configured to carry out a self-calibration of the device as a function of the detected measured value. A method for self-calibration of a device is also described.

Abstract: A system for facilitating communication in regard to a user in labor may include a first electronic device associated with the user, a set of second electronic devices associated with emergency contacts, and a server. The server may be configured to retrieve coordinates of a predetermined location, a current position of the user, and vehicle information corresponding to a vehicle in which the user is traveling to the predetermined location. The server may transmit a command to activate an electronic sign associated with the vehicle to indicate the labor status. The server may transmit a first notification including the vehicle information and an estimated time of arrival to the one or more second electronic devices. The server may determine whether the user is in an emergency state and output a second notification including information related to the emergency state to the one or more second electronic devices.

Abstract: A driving control method for vehicles includes: determining, by a controller, whether virtual guide lines need to be generated, based on a state of turn guide lines disposed at sides of a host vehicle when the host vehicle enters an intersection and drives while turning; and controlling, by the controller, the host vehicle to radiate optical guide lines on a road surface requiring generation of the virtual guide lines, using light, in response to determining that the virtual guide lines need to be generated.

Abstract: An approach is provided for providing probe anomaly detection. The approach, for example, involves determining an expected vehicle volume for a geographic region over a time epoch. The expected vehicle volume is calculated from historical vehicle volume data. The approach also involves determining an actual vehicle volume for the geographic region over the time epoch. The actual vehicle volume is based on current vehicle volume data collected from a plurality of vehicles traveling in the geographic region. The approach further involves computing a vehicle volume change based on the expected vehicle volume and the actual vehicle volume. The approach then involves providing the vehicle volume change as an indicator of a probe anomaly in the geographic region.

Abstract: A vehicular driving assistance system is operable to control driving of a vehicle when operating in a driving assist mode. When the vehicular driving assistance system is not operating in the driving assist mode, a driver controls driving of the vehicle. The system identifies the driver and receives information pertaining to operation by the identified driver of the vehicle while the vehicle is driven by the identified driver. The system generates first and second personalized parameter sets for the identified driver when the driver drives the vehicle during respective first and second driving conditions. When the system is operating in the driving assist mode and the identified driver is present in the vehicle, and responsive to a current driving condition of the vehicle corresponding to one of the determined driving conditions, the system controls the vehicle in accordance with the respective generated personalized parameter set for that driving condition.

Abstract: Systems, methods, and computer program products to enhance the situational competency of a vehicle, when operating at least partially in an autonomous mode, and/or the safe operation of a vehicle, when operating at least partially in an autonomous mode. Such systems, methods, and computer program products are to facilitate operation of a vehicle, when operating at least partially in an autonomous mode, in a multi-lane roadway environment to coordinate a change of lane of the autonomous vehicle from a first lane in which the autonomous vehicle is currently operating and a target lane change area of a second lane. Such coordination is to dynamically take into consideration several operational safety factors within the driving environment, including the presence of one or more vehicles in a third lane adjacent to the target lane area of the second lane and the geometric roadway design.

Abstract: An information providing device includes an external environment recognition unit that recognizes an external environmental situation of a movable body, an information providing control unit that provides a notification of recommended stopping information based on a current indication of traffic signals recognized by the external environment recognition unit, and a determination unit which determines, in the case that a first intersection and a second intersection are positioned in a travel direction of the movable body, whether or not a degree of proximity of the first intersection and the second intersection satisfies a predetermined condition. In the case it is determined by the determination unit that the predetermined condition is satisfied, the information providing control unit prevents the recommended stopping information based on a current indication of the traffic signal belonging to the second intersection from being provided.

Abstract: Aspects of the disclosure provide for controlling an autonomous vehicle to respond to queuing behaviors at pickup or drop-off locations. As an example, a request to pick up or drop off a passenger at a location may be received. The location may be determined to likely have a queue for picking up and dropping off passengers. Based on sensor data received from a perception system, whether a queue exists at the location may be determined. Once it is determined that a queue exists, it may be determined whether to join the queue to avoid inconveniencing other road users. Based on the determination to join the queue, the vehicle may be controlled to join the queue.

Abstract: A system and method for assisting drivers of vehicles are described. The systems and methods provide an extended view of the area surrounding the driver's vehicle while providing real-time object trajectory for objects and other vehicles that may enter the driver's reactionary zone. The system and methods capture images of the area surrounding the driver's vehicle and create a composite image of that area in real-time and using Augmented Reality (AR) create a 3-D overlay to warn the driver as objects or other vehicles enter the driver's reactionary zone so that a driver can make more informed driving decisions.

Abstract: Technologies for managing a world model of a monitored area includes a roadway server configured to receive LIDAR sensing data from a LIDAR sensing system positioned to monitor the monitored area and generate a world map of the monitored area based on the LIDAR sensing data. The world model includes data that identifies objects located in the monitored area. The roadway server may distribute the world model to automated vehicles traveling through the monitored area via a stream or in response to directed requests. The roadway server may also receive sensor data from the automated vehicles, which may be used to generate the world model. The roadway server may distribute the world model to other interested devices located in or near the monitored area.