Abstract: A vehicle integrated controller includes an in-vehicle communication module configured to communicate with at least one controller mounted on the vehicle; a collection module configured to collect collection information including controller information, which is information on the at least one controller, through the in-vehicle communication module; and an aging abnormality processor configured to calculate an aged state or an abnormal state of the at least one controller based on the collection information, and when there exists a controller (hereinafter, “control target controller”) in the aged state or abnormal state among the at least one controller, calculate a value of a control parameter for the control target controller to maintain basic performance.

Abstract: Map data describing various geometric elements in a map used in autonomous vehicle localization is selectively weighted to vary the relative contributions of different geometric elements to an alignment operation. By doing so, the alignment operation may be biased to emphasize geometric elements associated with objects in an environment that are relatively more stable, e.g., roadways, walls, buildings, etc., over objects that are relatively less stable, e.g., vegetation, thereby in many instances improving alignment operation performance and/or availability.

Abstract: A driver assistance device acquires information about vehicle-driving environment ahead of the vehicle to detect an intersection. Upon determining that the vehicle makes a right- or left-hand turn at the intersection, the driver assistance device sets a projected course of the vehicle and recognizes a moving object ahead in a direction in which the vehicle making a right- or left-hand turn is headed. The driver assistance device calculates a movement vector from positional changes of the moving object to calculate a meeting point of a path of the object and the projected course. When an interval between times at which the vehicle and the moving object reach the meeting point is found to fall within a predetermined range, the driver assistance device determines that there is a possibility of interference between the vehicle and the moving object and then causes the vehicle to halt short of the meeting point.

Abstract: A transport management system includes: a reception section that receives p transport task information pieces indicating transport tasks, each of which has a point of origin and a point of destination; a linkage section that generates q (q<p) linked-tasks information pieces by linking the p transport task information pieces; and an assignment section that assigns the q linked-tasks information pieces to q transport robots, respectively. The linkage section generates the q linked-tasks information pieces such that a total travel distance becomes shorter, the total travel distance being the sum of travel distances of the q transport robots, the travel distances being required for the q transport robots to carry out the q linked-tasks information pieces, respectively.

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 framework for modeling traffic speed in a transportation network analyzes both the spatial and temporal dependencies in probe-based traffic speeds, historical weather data, and forecasted weather data, using multiple machine learning models.

Abstract: A vehicle communication method and apparatus, a computer-readable medium, and an electronic device. The vehicle communication method includes: obtaining location information and state information of a plurality of objects participating in Internet of Vehicles communication; determining, according to the location information and the state information of the plurality of objects, Internet of Vehicles information that needs to be transmitted to a specified object; determining an information fusion and compression policy for the specified object based on at least one of the Internet of Vehicles information and state information of the specified object; and transmitting the Internet of Vehicles information to the specified object based on the information fusion and compression policy.

Abstract: A system for determining a lane change decision based on a downstream traffic state can include a processor, a communications device, and a memory. The processor can be disposed on an ego vehicle. The memory can store an acceleration gain module and a communications module. The acceleration gain module can include instructions that cause the processor to: (1) obtain, via the communications device and from a monitoring system, information about an end of stopped or slow moving downstream traffic in a lane and (2) calculate a result of an equation for the lane change decision. The equation can include information about virtual vehicles positioned near the end or a geographical location. The communications module can include instructions that cause the processor to cause a signal, with information based on the result, to be sent to a component of the ego vehicle for an action to be performed by the component.

Abstract: A computer-implemented method may comprise: receiving sensor data from a sensor of an autonomous vehicle; determining a presence of a lane closure object located on a lane element; determining a change of the lane closure object, selected from the presence of the lane closure object or absence of the lane closure object on the lane element; generating a change candidate based on the change in the lane closure object; obtaining a plurality of the change candidates during a time period or the autonomous vehicle being on a preceding lane element on the route; analyzing the plurality of change candidates for the change being the presence of the lane closure object or the absence of the lane closure object on the lane element; generating a final change candidate based on the change; and providing the final change candidate for updating a high definition map of the route having the lane element.

Abstract: A method for predicting traffic flow or a travel time, includes: obtaining navigation route data; obtaining, according to the navigation route data, navigation flow of a road within a prediction time period; obtaining real-time traffic flow, a real-time travel time, past traffic flow, and a past travel time of the road; and training a neural network with the real-time travel time, the past travel time, the real-time traffic flow, the past traffic flow, and the navigation flow of the road to obtain predicted traffic flow or a predicted travel time of the road within the prediction time period.

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: 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 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: A server computer receives a routing request for providing a ride service and retrieves a start location and destination from the request. The server computer identifies a plurality of routes connecting the start location and destination among historical route information collected over a period of time. The routes are traveled by one or more vehicles and reported during the period of time. The server computer identifies a selected route, including a plurality of waypoints, among the plurality of routes based on the selected route having a higher probability to be taken. The server computer multiplies an identified time duration for each waypoint with a determined adjustment factor for each time duration to determine an augmented time duration for each waypoint, determines a sum of all the augmented time durations as the estimated time for arrival, and transmits the estimated time of arrival to the user device.

Abstract: A system for adaptively controlling traffic control devices having a traffic signal system, a computing network, a communication system, and a mobile device. The traffic signal system is configured to be in communication with the computing network through the communication system. The mobile device is also configured to be in communication with the computing network through the communication system. Then the computing network adaptively controls the traffic signal system using a location of the mobile device.

Abstract: A traffic control device includes: a passage schedule calculation unit which calculates, on the basis of vehicle information about vehicles that enter an intersection, passage schedules according to which the vehicles pass through the intersection; a collision determination unit which determines, on the basis of the passage schedules, whether the vehicles have a possibility of a collision; a passage rank setting unit which sets passage ranks for the vehicles if there is the possibility of the collision; and a passage schedule adjustment unit which calculates an adjustment period on the basis of a result of comparing the passage schedules for the vehicles determined to have the possibility of the collision, and delays, by the adjustment period, a passage schedule for a vehicle that has a low passage rank among the vehicles determined to have the possibility of the collision, to adjust the passage schedule.

Abstract: An information processing server includes a target vehicle data recognition unit configured to recognize target vehicle data including a traveling state of a target vehicle and position information of the target vehicle on a map, an unstable behavior position recognition unit configured to recognize an unstable behavior position which is a position on the map, at which at least one target vehicle has performed an unstable behavior, based on a plurality of pieces of the target vehicle data, a determination unit configured to determine whether the unstable behavior position is in a continuous occurrence situation or a discontinuous situation, based on whether or not a plurality of the target vehicles perform the unstable behavior at the unstable behavior position, and a storage processing unit configured to store a determination result by the determination unit, in a storage database in association with the unstable behavior position.

Abstract: A moving path planning apparatus and method for a robot according to the exemplary embodiment of the present disclosure determine an actual moving path using a robot parameter set in advance on the basis of a moving path pattern acquired for every sub region of the map to determine an actual moving path of the robot in consideration of the turning radius of the robot.

Abstract: In various examples, systems and methods are disclosed for weighting one or more optional paths based on obstacle avoidance or other safety considerations. In some embodiments, the obstacle avoidance considerations may be computed using a comparison of trajectories representative of safety procedures at present and future projected time steps of an ego-vehicle and other actors to ensure that each actor is capable of implementing their respective safety procedure while avoiding collisions at any point along the trajectory. This comparison may include filtering out a path(s) of an actor at a time step(s)—e.g., using a one-dimensional lookup—based on spatial relationships between the actor and the ego-vehicle at the time step(s). Where a particular path—or point along the path—does not satisfy a collision-free standard, the path may be penalized more negatively with respect to the obstacle avoidance considerations, or may be removed from consideration as a potential path.

Abstract: This contact prevention device for a construction machine is provided with a ToF camera, an object determination unit, an obstacle information output unit, and a notification device. The ToF camera is provided with a light-emitting unit and a light-receiving unit, and can detect the received light intensity and the timing at which the light-receiving unit receives reflected light, which is light from the light-emitting unit that hits and is reflected by an object. The object determination unit determines the object on the basis of at least the received light intensity. The obstacle information output unit outputs information relating to an obstacle. The notification device makes a notification depending on the output results of the obstacle information output unit. The obstacle information output unit generates information relating to the obstacle on the basis of the distance to the object acquired by the ToF camera and the determination results of the object determination unit.

Abstract: Road vector definitions and incident data associated with a traffic incident are obtained from a traffic data source. A determination is made, based on the road vector definitions and the incident data, that the traffic incident affects travel on a particular road. A road classification of the road affected by the traffic incident is determined based on the road vector definitions. An updated version of a previous Transport Protocol Experts Group (TPEG) traffic is generated. Generating the updated version of the previous TPEG traffic frame includes conditionally inserting changed traffic data associated with the particular road into the previous TPEG traffic frame. The changed traffic data associated with the particular road includes at least a portion of the incident data. The updated version of the previous TPEG traffic frame is transmitted to a station importer for broadcast.

Abstract: A plurality of instances of event data are received. Each instance of event data corresponds to a traffic event on a first segment and comprises an indication of at least one parameter characterizing travel of a vehicle along the first segment during the traffic event. Based on the plurality of instances of event data, a recurring event is identified. At least one representative parameter characterizing travel along the first segment during the recurring event is determined based on the two or more instances of event data corresponding to the recurring event. At least one element of a data structure is modified with the at least one representative parameter. The at least one element of the data structure corresponds to the first segment. A geographic database comprises the data structure and a navigation application is configured to use at least a portion of the data structure to perform a navigation function.

Abstract: Disclosed are an apparatus for controlling a stop of a vehicle and a method thereof. In order to prevent a collision accident occurring by a second rear vehicle in an emergency stop of the vehicle in advance, the apparatus includes a vehicle sensor that detects various types of information on a target vehicle, a rear sensor that detects a first rear vehicle and a second rear vehicle driving behind the target vehicle, and a controller that is electrically connected to the vehicle sensor and the rear sensor to control an emergency stop of the target vehicle in consideration of a state of a field of view of the second rear vehicle with respect to the target vehicle when the target vehicle is stopped in emergency.

Abstract: A method for detecting an obstacle in front of a vehicle using a radar sensor. In the method, the radar sensor monitors a monitoring area in front of the vehicle, a classification of an object detected by the radar sensor in the monitoring area being performed, the monitoring area being divided into monitoring subareas and a first classification rule being used for classification for a first monitoring subarea and a second classification rule being used for classification for a second monitoring subarea.

Abstract: Embodiments of the present disclosure provide a navigation method, device and system for a cross intersection. The method includes: receiving a message transmitted from a vehicle controller, where the message indicates a request of a vehicle for passing an intersection; and determining whether to allow the vehicle to pass the intersection based on an occupancy condition of the intersection and transmitting an action instruction to the vehicle controller to cause the vehicle controller to control movement of the vehicle.

Abstract: A method, apparatus, and computer program product are provided for real-time map-matching of probe data. Methods may include: receiving a plurality of probe data points; receiving an indication of changes to the road network, where the indication of changes includes an addition of new road segments and a removal of closed road segments; map-matching the plurality of probe data points to one or more road segments of the road network based on closest candidate road segments to form map-matched probe data; in response to a closest candidate road segment for one or more probe data points of the plurality of probe data points corresponding to a closed road segment, map-matching the one or more probe data points to a next closest candidate road segment in the map-matched probe data; and updating dynamic map data with the map-matched probe data.

Abstract: A method of navigating a plurality of vehicles along a roadway includes, at a first vehicle, navigating along a section of a roadway by following a first moving position-target, the first moving position-target determined in accordance with a first tracking function defining position along the section of the roadway as a function of time, and at a second vehicle, navigating along the section of the roadway by following a second moving position-target, the second moving position-target determined in accordance with a second tracking function defining position along the section of the roadway as a function of time. A distance between the first vehicle and the second vehicle may change as the first vehicle and the second vehicle navigate along the section of the roadway.

Abstract: Embodiments of a system/method is disclosed to operate an autonomous driving vehicle (ADV). In one embodiment, a system perceives a driving environment surrounding the ADV using a plurality of sensors mounted on the ADV including one or more obstacles. The system receives traffic signal information from one or more traffic indicators identified within a predetermined radius of the ADV. For each of the one or more obstacles, the system determines if the obstacle is situated on a lane with traffic flow coordinated by the one or more traffic indicators. The system predicts a behavior of the obstacle based on the traffic signal information for the lane. The system plans a trajectory based on the predicted behaviors for the one or more obstacles to control the ADV based on the planned trajectory.

Abstract: A logistics system for generating hazard alerts. Nodes in an environment generate position data. Local alerts are generated based on the node's position data and recent position data concerning other nodes. The position data is sent to a central node, which receives position data from the other nodes. The central node can generate a second level alert and send the alert to at least the affected nodes in the environment.

Abstract: A method for simultaneous multi-agent recurrent trajectory prediction is presented. The method includes reconstructing a topological layout of a scene from a dataset including real-world data, generating a road graph of the scene, the road graph capturing a hierarchical structure of interconnected lanes, incorporating vehicles from the scene on the generated road graph by utilizing tracklet information available in the dataset, assigning the vehicles to their closest lane identifications, and identifying diverse plausible behaviors for every vehicle in the scene. The method further includes sampling one behavior from the diverse plausible behaviors to select an associated velocity profile sampled from the real-world data of the dataset that resembles the sampled one behavior and feeding the road graph and the sampled velocity profile with a desired destination to a dynamics simulator to generate a plurality of simulated diverse trajectories output on a visualization device.

Abstract: A roadside information processing system according to the present disclosure includes a plurality of roadside devices installed on a roadside of a road and capable of communicating with a vehicle travelling on the road, and a plurality of sensors installed on the roadside to perform sensing on the road and its periphery, wherein at least one of the roadside devices includes an edge-server processing unit to obtain first information from in-vehicle devices included in the vehicles and from some of the plurality of the sensors, the first information indicating information about a periphery of the vehicles and about the road and its periphery, and to generate second information by using the first information, the second information indicating a position of the vehicles, a movement direction of the vehicles, and traffic jam conditions on the road.

Abstract: The present disclosure generally relates to a computer implemented method for controlling vehicles, specifically in relation to a plurality of vehicles passing through an intersection. The present disclosure also relates to a corresponding management server and computer program product.

Abstract: A server may determine a plurality of recommended exit paths for vehicles departing a locality. The server may also correlate a plurality of present geofenced locations within the locality to exit paths, so that each location has one or more exit paths correlated thereto, informing vehicles within a given locality about the one or more exit paths recommended for that locality. Further, the server may instruct an ATSC transmitter to broadcast map data for the locality, the map data including designations of geofences around the locations and the correlations between the geofenced locations and the exit paths.

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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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.