Abstract: Systems and methods are disclosed for recommending media assets based on objects captured in visual assets. A location of a visual asset is determined, where the location is associated with the visual asset. A location score is determined based on one or more of: a user travel score, a user travel frequency score, and a popularity score. A determination is made whether the location score exceeds a threshold. Responsive to a determination that the location score exceeds the threshold, the system detects an object within the visual asset and generates a recommendation of a media asset that is associated with the object.

Abstract: An autonomous cleaning apparatus includes a chassis, a drive system disposed on the chassis and operable to enable movement of the cleaning apparatus, and a controller in communication with the drive system. The controller includes a processor operable to control the drive system to steer movement of the cleaning apparatus. The autonomous cleaning apparatus includes a cleaning head system disposed on the chassis and a sensor system in communication with the controller. The sensor system includes a debris sensor for generating a debris signal, a bump sensor for generating a bump signal, and an obstacle following sensor disposed on a side of the autonomous cleaning apparatus for generating an obstacle signal. The processor executes a prioritized arbitration scheme to identify and implement one or more dominant behavioral modes based upon at least one signal received from the sensor system.

Abstract: A vehicle computer includes a memory and a processor programmed to execute instructions stored in the memory. The instructions include determining whether to operate a host vehicle in a mini-platoon based at least in part on at least one of a powertrain type and emissions of at least one of a plurality of nearby vehicles.

Abstract: The present disclosure provides an apparatus and method for maneuver platooning of a vehicle. The apparatus may include a communication circuit that communicates with one or more external vehicles included in a vehicle platooning group together with the vehicle, a filter that filters particulate matter generated by the vehicle, and a controller electrically connected with the communication circuit. The controller is configured to control at least one of a behavior of the vehicle or a regeneration of the filter based on information about an order of the vehicle in the vehicle platooning group, when the controller determines that regenerating the filter is required.

Abstract: A system and method includes an autonomous agent having a communication interface that enables the autonomous agent to communicate with a plurality of infrastructure sensing devices; a plurality of distinct health monitors that monitor distinct operational aspects of the autonomous agent; an autonomous state machine that computes a plurality of allowed operating states of the autonomous agent based on inputs from the plurality of distinct health monitors; a plurality of distinct autonomous controllers that generate a plurality of distinct autonomous control instructions; and an arbiter of autonomous control instructions that: collects, as a first input, the plurality of autonomous control instructions generated by each of the plurality of distinct autonomous controllers; collects, as a second input, data relating to the plurality of allowed operating state of the autonomous agent; and selectively enables only a subset of the autonomous control instructions to pass to driving components of the autonomous agent

Abstract: A movable body utilization system includes: a vehicle configured to perform automated driving; and a server configured to communicate with the vehicle. The server selects the vehicle conforming to a demand of a user who is not an owner of the vehicle when the server receives a utilization application for utilizing the vehicle for a predetermined purpose by the user, the demand including the vehicle utilizable for the predetermined purpose and a utilization fee of the vehicle. Then, the server transmits, to the selected vehicle, an instruction for allowing the user to utilize the vehicle. In accordance with the instruction, the vehicle is configured to move to the user who has made the utilization application.

Abstract: Logic may implement protocols and procedures for vehicle-to-vehicle communications for platooning. Logic may implement a communications topology to distinguish time-critical communications from non-time-critical communications. Logic may sign time-critical communications with a message authentication code (MAC) algorithm with a hash function such as Keccak MAC or a Cipher-based MAC. Logic may generate a MAC based on pairwise, symmetric keys to sign the time-critical communications. Logic may sign non-time-critical communications with a digital signature. Logic may encrypt non-time-critical communications. Logic may append a certificate to non-time-critical communications. Logic may append a header to messages to create data packets and may include a packet type to identify time-critical communications. Logic may decode and verify the time-critical messages with a pairwise symmetric key. And logic may prioritize time-critical communications to meet a specified latency.

Abstract: Disclosed is a cooperative driving method including transmitting information on a merging request to a lead vehicle which is singly driving or cooperatively driving, receiving information indicating whether merging is possible from the lead vehicle which has determined whether the merging is possible, a merging step in which, when information indicating that the merging is possible is received, the follow vehicle merges, transmitting information indicating that the merging is being performed to the lead vehicle, determining whether the merging of the follow vehicle has been completed based on a longitudinal distance from a first preceding vehicle or a transverse distance from a lane line, and a merging completion step of, when it is determined that the merging has been completed, releasing the transmission of the information indicating that the merging is being performed.

Abstract: A method, an optimization controller, and combustion engine are disclosed. The method includes determining, by an optimization controller, values of a performance parameter of a target vehicle using characteristics of at least two platoons travelling on a roadway, each of the values corresponding to a platoon of the at least two platoons; selecting, by the optimization controller, one of the at least two platoons based on a comparison of the values of the performance parameter, and coordinating, by the optimization controller, for the target vehicle to join the selected of the at least two platoons.

Abstract: A device is provided to extract scan lines data from images of a route, said scan line data comprising only a portion of the an image that extends along a scan line, and to store this data in memory together with respective positional data pertaining to the position of the device traveling along the route in a navigable network. This scan line and positional data can be obtained from a plurality of devices in a network and transmitted to computing apparatus, for example, for use in a production of a realistic view of a digital map.

Abstract: A travel route selection system is provided and includes historical latency data and travel route modules. The historical latency data module includes data and characterization modules. The data module collects historical latency data. The historical latency data are associated with transmission of signals in a network for one or more vehicle applications of a vehicle. The characterization module: obtains characteristic distributions of the historical latency data at selected locations along travel routes; based on the characteristic distributions, (i) calculates metrics along the travel routes for the vehicle, or (ii) combines the characteristic distributions to obtain an overall distribution for each of the travel routes; and based on the metrics or the overall distribution, performs a statistical process to predict latencies of the signals along each of the travel routes. The travel route module selects one of the travel routes based on the predicted latencies of the signals.

Abstract: An autonomously moveable storage unit includes one or more processors, a storage container configured to contain a stored item, a moveable base coupled to the storage container and communicatively coupled to the one or more processors, and one or more memory modules communicatively coupled to the one or more processors. The one or more memory modules store logic that, when executed by the one or more processors, cause the autonomously moveable storage unit to actuate the moveable base to automatically move the autonomously moveable storage unit from a docked position coupled to the wheelchair to an undocked position uncoupled from the wheelchair, and actuate the moveable base to automatically move the autonomously moveable storage unit from the undocked position to the docked position.

Abstract: A method for switching driving modes of a subject vehicle to support the subject vehicle to perform a platoon driving by using platoon driving information is provided. And the method includes steps of: (a) a basement server, which interworks with the subject vehicle driving in a first mode, acquiring first platoon driving information, to N-th platoon driving information by referring to a real-time platoon driving information DB; (b) the basement server (i) calculating a first platoon driving suitability score to an N-th platoon driving suitability score by referring to first platoon driving parameters to N-th platoon driving parameters and (ii) selecting a target platoon driving group to be including the subject vehicle; (c) the basement server instructing the subject vehicle to drive in a second mode.

Abstract: A driver's driving tendency determination apparatus includes: an image sensor for obtaining video information of nearby driving scenes; a speed sensor for obtaining speed information of the vehicle; a navigation system for obtaining traffic information of a road on which the vehicle travels; and a controller configured to calculate a number of overtaking vehicles and a number of overtaken vehicles by tracking movement directions of nearby vehicles through the video information, and determine driver's traffic flow following tendency by comparing the calculated numbers with a predetermined condition.

Abstract: Methods and apparatus to enable vehicle-to-vehicle guidance and tracking are disclosed. An example method includes transmitting, from a first vehicle, a first message to a second vehicle. The first message requests the second vehicle to become a leader vehicle. The example method further includes receiving a second message from the second vehicle. The second message includes leader information indicative of a travel path of the second vehicle. The example method also includes receiving authorization from the second vehicle for the first vehicle to follow the second vehicle.

Abstract: Controlling autonomous vehicles in interface regions of multilane roads by receiving, from at least one first autonomous vehicle entering an interface region of a multilane road in a first direction, a current first autonomous vehicle destination. Receiving, from at least one second autonomous vehicle exiting the interface region from the first direction, a current second autonomous vehicle status as exiting the road. Receiving, from at least one traffic system covering the interface region, traffic data applicable to the interface region. Determining, based at least in part on each received destination, each received exiting status, and the received traffic data, an operating parameters envelope for each autonomous vehicle entering the interface region in the first direction. Transmitting, to each corresponding autonomous vehicle entering the interface region in the first direction, instructions to apply the corresponding determined operating parameters envelope.

Abstract: A method providing vehicle incident call services to a user is disclosed. A third-party service center receives a communication from a vehicle over at least one data channel. Signaling is automatically sent to the vehicle from the third-party service center and, in response to the signaling, die third-party service center receives from the vehicle, location information comprising at least the latitude and longitude coordinates of the vehicle. An interactive voice recognition (IVR) system located at the third-party service center is used to determine if the latitude and longitude coordinates are valid. If the coordinates are determined to be valid, the third-party service center provides the user with a selection of vehicle-incident non-emergency response services.

Abstract: An automatic moving object obtains, from a sensor, operating data and external environment data of the automatic moving object, constructs a plurality of operation models based on the operating data and the external environment data, and controls automatic movement of the automatic moving object based on the constructed plurality of operation models. An automatic moving object transmits the constructed plurality of operation models to another automatic moving object. An automatic moving object receives a plurality of operation models from another automatic moving object, and controls automatic movement based on the received plurality of operation models.

Abstract: A system for an autonomous vehicle can receive profile data of a passenger of the autonomous vehicle, the profile data indicating a need of the passenger for audio assistance. Based on the profile data, the system can execute a set of configurations to assist the passenger over a trip duration between a pick-up location and a destination. Execution of the set of configurations can include dynamically monitoring the passenger to determine a state of the passenger, and based on the state of the passenger, output the audio assistance to at least aid the passenger in entering and exiting the autonomous vehicle.

Abstract: A method and a device for vehicle platooning in which a leader vehicle of a group of vehicles provides a control signal and one or more follower vehicles in the group travel according to the control signal, the method can include determining a communication state of the group of vehicles; and adjusting, by the leader vehicle, a distance between at least two vehicles included in the group of vehicles based on the communication state of the group of vehicles.

Abstract: An apparatus for controlling platooning in a leading vehicle can determine whether a collision between a leading vehicle and an object in front of the leading vehicle will occur based on data measured by one or more sensors; when the collision between the leading vehicle and an object in front of the leading vehicle is determined to occur, determine a possibility of a collision when a following vehicle brakes or a possibility that the following vehicle will change its lane; determine a command associated with a lane change of the following vehicle based on the determined possibility; transmit the command associated with the lane change of the following vehicle and an emergency braking command to the following vehicle via the communication circuit; and release the platooning.

Abstract: A method of characterizing the environment with respect to a host vehicle, said vehicle including one or more systems adapted to detect single objects in the vehicle vicinity; comprising: i) determining the spatial location of a plurality of single objects in the vicinity of said vehicle; ii) grouping a plurality of said single objects based on one or more attributes of each single object into at least one group; iii) subsequently processing said group of objects as a single group object.

Abstract: Techniques for generating trajectories for autonomous vehicles and for predicting trajectories for third-party objects using temporal logic and tree search are described herein. Perception data about an environment can be captured to determine static objects and dynamic objects. For a particular dynamic object, which can represent a third-party vehicle, predictive trajectories can be generated to represent possible trajectories based on available options and rules of the road. Operations can include determining probabilities that a third-party vehicle will execute a predictive trajectory and updating the probabilities over time as motion data is captured. Predictive trajectories can be provided to the autonomous vehicle and commands for the autonomous vehicle can be based on the predictive trajectories.

Abstract: A vehicle periphery information verification device comprises: an obstacle detecting unit configured to detect an obstacle; an arranging unit configured to arrange a travelable region in which a vehicle is travelable and the detected obstacle on a map; an action determining unit configured to determine an action of a host vehicle by using information on the arranged obstacle; a judging unit configured to judge whether the arranged obstacle is arranged in the travelable region; and a prohibiting unit configured to prohibit the action determining unit from determining the action of the host vehicle when the obstacle is determined to be not arranged in the travelable region.

Abstract: Systems, apparatuses, and methods for providing roadside assistance services are described herein. The system can include network computing devices and computing devices associated with vehicles and service vehicles. Requests for roadside services can be automatically assigned to an available service provider. Service providers can be ranked based on a variety of criteria and requests can be assigned based on the ranking. The ranking of service providers can be adjusted based on the performance of the service provider. If a service provider takes too long to respond to a request, the request can be automatically declined and an alternative service provider can be selected.

Abstract: A system and method for using human driving patterns to manage speed control for autonomous vehicles are disclosed. A particular embodiment includes: generating data corresponding to desired human driving behaviors; training a human driving model module using a reinforcement learning process and the desired human driving behaviors; receiving a proposed vehicle speed control command; determining if the proposed vehicle speed control command conforms to the desired human driving behaviors by use of the human driving model module; and validating or modifying the proposed vehicle speed control command based on the determination.

Abstract: Aspects of the disclosure provide a computer-implemented method and system for the assignment of roadside assistance service providers such as tow trucks to distressed vehicles/drivers requiring roadside assistance. The methods and systems may include a roadside assistance service provider system with a collection module, an assignment module, and a feedback module. The collection module collects roadside assistance service provider information and historical statistics from real-world information and stores the information in a database that may then be analyzed using particular rules and formulas. The assignment module assigns particular roadside assistance service providers to particular distressed vehicles/drivers based on one or more characteristics.

Abstract: A network generation system is configured to generate a private computerized network in response to detection by the system of the occurrence of an event. A mobile device application installed on an entity mobile device is configured to receive and transmit event data and GPS-based location data. A network server is configured to receive the event data and the GPS-based location data. A computer server based processing platform is configured to proactively extract resource provider data corresponding to resource providers based upon event data, entity data, event location data, and at least one resource data API. The computerized private network is generated and separate interfaces are generated for the entity, an event processor, and at least one resource provider.

Abstract: An autonomous vehicle including a vehicle propulsion system, a braking system, a steering system, and a computing system that is in communication with the vehicle propulsion system, the brake system, and the steering system. The computing system can receive an indication an account associated with a passenger of the autonomous vehicle for a trip of the autonomous vehicle includes a predefined parent-child link with a second account. The predefined parent-child link indicates the account associated with the passenger is subordinate to the second account and a parent-child relationship exists between the passenger and a person associated with the second account. Responsive to receiving the indication of the parent-child link and the passenger being the child in the parent-child relationship, the computing system can control the autonomous vehicle to enable a linked account feature that would otherwise be disabled.

Abstract: A control system for a work vehicle includes a course data generation unit that generates a traveling condition including a traveling route of the work vehicle in a workplace, a service area setting unit that sets a service area which is an area where the work vehicle is serviceable, a passage area setting unit that sets a passage area having a predetermined width along the traveling route generated by the course data generation unit, and an update data generation unit that generates update data for service area data obtained by expanding the service area when the passage area is present on an outer side of the service area.

Abstract: A system and method includes an autonomous agent having a communication interface that enables the autonomous agent to communicate with a plurality of infrastructure sensing devices; a plurality of distinct health monitors that monitor distinct operational aspects of the autonomous agent; an autonomous state machine that computes a plurality of allowed operating states of the autonomous agent based on inputs from the plurality of distinct health monitors; a plurality of distinct autonomous controllers that generate a plurality of distinct autonomous control instructions; and an arbiter of autonomous control instructions that: collects, as a first input, the plurality of autonomous control instructions generated by each of the plurality of distinct autonomous controllers; collects, as a second input, data relating to the plurality of allowed operating state of the autonomous agent; and selectively enables only a subset of the autonomous control instructions to pass to driving components of the autonomous agent

Abstract: A portable interface, comprising a wireless transceiver configured to emit a short-range wireless signal including an encrypted packet configured to prompt authorized autonomous vehicles to respond to the packet with identification and location data of the vehicles. The portable interface further includes a processor configured to cause the transceiver to emit the signal, and in response to receiving the identification and location data, prompt a notification to be output to a shortest-distance vehicle.

Abstract: A vehicle adjusts a distance between a subject vehicle and a front vehicle according to a height of the front vehicle. The vehicle includes a distance sensor, and a processor which determines data of the front vehicle among data obtained by the distance sensor, and maintains a distance to the front vehicle equal to or more than a predetermined distance when a longitudinal dispersion value of the determined data is a predetermined reference value or more.

Abstract: A navigation control system for an autonomous vehicle comprises a transmitter and an autonomous vehicle. The transmitter comprises an emitter for emitting at least one signal, a power source for powering the emitter, a device for capturing wireless energy to charge the power source, and a printed circuit board for converting the captured wireless energy to a form for charging the power source. The autonomous vehicle operates within a working area and comprises a receiver for detecting the at least one signal emitted by the emitter, and a processor for determining a relative location of the autonomous vehicle within the working area based on the signal emitted by the emitter.

Abstract: Systems and methods for situational modification of autonomous vehicle operation are disclosed. According to aspects, a computing device may detect the occurrence of an emergency event and may determine a current operation of an autonomous vehicle that may be associated with the emergency event. The computing device may determine a modification to operation of the autonomous vehicle, where the modification may represent a violation of a roadway regulation that may enable effective handling of the emergency event. The computing device may generate a set of instructions for the autonomous vehicle to execute to cause the autonomous vehicle to undertake the operation modification.

Abstract: A system, an apparatus or a process may be configured to implement an application that applies artificial intelligence and/or machine-learning techniques to predict an optimal course of action (or a subset of courses of action) for an autonomous vehicle system (e.g., one or more of a planner of an autonomous vehicle, a simulator, or a teleoperator) to undertake based on suboptimal autonomous vehicle performance and/or changes in detected sensor data (e.g., new buildings, landmarks, potholes, etc.). The application may determine a subset of trajectories based on a number of decisions and interactions when resolving an anomaly due to an event or condition. The application may use aggregated sensor data from multiple autonomous vehicles to assist in identifying events or conditions that might affect travel (e.g., using semantic scene classification). An optimal subset of trajectories may be formed based on recommendations responsive to semantic changes (e.g., road construction).

Abstract: Example methods and systems may transport an object with a plurality of transport vehicles. An example transport vehicle may be autonomous, and may have one or more wheels extending from a body for engaging a ground surface. Example methods may include providing a destination for the object to the plurality of transport vehicles, wherein the plurality of transport vehicles determines a route to the destination, dividing the route into one or more route segments for the plurality of transport vehicles, encountering an obstacle with a first one of the transport vehicles while traveling along one of the route segments, and sending a location of the obstacle from the first transport vehicles to at least a second one of the transport vehicles. A second one of the transport vehicles may modify at least one of the route segments to avoid the obstacle based upon the provided location.

Abstract: A method and device determines an optimization solution for an optimization problem. The method includes receiving the optimization problem having cost functions and variables in which each of the cost functions has a predetermined relationship with select ones of the variables. The variables comprise a sub-solution of a spline indicative of a curved path along an estimated trajectory. The method includes generating a first message for each of the cost functions for each corresponding variable based upon the relationship and a second message for each of the variables for each corresponding cost function based upon the relationship. The method includes generating a disagreement variable for each corresponding pair of variables and cost functions measuring a disagreement value between the first and second beliefs. The method includes forming a consensus between the first and second messages until the optimization solution is determined.

Abstract: A control system includes an airborne flight control system and a smart terminal; the airborne flight control system is configured to acquire a first position information, and send the first position information to the smart terminal; the smart terminal is configured to acquire a second position information, and obtain a yaw angle and at least one of a horizontal flight speed and a vertical flight speed according to the second position information and the first position information sent by the airborne flight control system, and send the yaw angle and at least one of the horizontal flight speed and the vertical flight speed to the airborne flight control system, wherein the first position information is the position information of an aircraft where the airborne flight control system is located, and the second position information is the position information of the smart terminal.

Abstract: A serial attached small computer system interface system improves shared device firmware version consistency. The system includes servers connected to one of a plurality of controllers, and an expander connected to each of the controllers. A shared device connected to the expander receives a command from a server to be executed at the shared device, and transmits a first broadcast asynchronous event to the expander. The shared device is a serial attached small computer system interface target, and the first broadcast asynchronous event identifies a configuration change in the serial attached small computer system interface target. The expander, in response to receiving the first broadcast asynchronous event, transmits a second broadcast asynchronous event to the controllers.

Abstract: A method and device are provided to monitor a wireless link state for an electric-powered vehicle, and comparing the wireless link state with a wireless-link trigger condition. When the wireless link state compares favorably with the wireless-link trigger condition, a thick-client application request may be transmitted based on the wireless-link trigger condition. A thick-client application load is received in response, and the thin-client application is transitioned to a thick-client application.

Abstract: Techniques are described for determining locations of interest based on user visits. In some situations, the techniques include obtaining information about actual locations of users at various times, and automatically analyzing the information to determine particular locations in a geographic area that are of interest, such as for frequent destinations visited by users. After determining a particular location of interest, it may be represented by generating a corresponding location model to describe the geographic subarea or other location point(s) covered by the determined location of interest, and one or more points of interest (e.g., businesses, parks, schools, landmarks, etc.) may be identified that are located at or otherwise correspond to the determined location of interest. In addition, a determined location of interest may be further used in various ways, including to identify later user visits to that location (e.g., to a point of interest identified for the location).

Abstract: A module for providing security to an in-vehicle communication network having a bus and at least one node connected to the bus, the module comprising: a memory having software comprising data characterizing messages that the at least one node transmits to and/or receives via the bus; a communication port via which the module receives and transmits messages configured to be connected to a portion of the in-vehicle network; and a processor that is operable to: processes messages received via the port responsive to the software in the memory to control passage of messages through an on-board diagnostics (OBD) port between the in-vehicle network and an entity external to the vehicle.

Abstract: Described are apparatus and method for estimating a position of a vehicle, and a vehicle using the same. A vehicle location estimation apparatus includes a vehicle sensor configured to detect a vehicle, a communication unit configured to receive traveling information of a further vehicle from the further vehicle, and a controller configured to detect a position of the vehicle and a traveling trajectory of the further vehicle based on information of vehicles detected by the vehicle sensor and traveling information of the further vehicle transmitted from the further vehicle, and to predict a traveling route of the further vehicle, to match the predicted traveling route of the further vehicle with an expected traveling route on a map, thereby correcting the position of the vehicle.

Abstract: A system and method of enabling or disabling vehicle features based on vehicle location, wherein the method includes: receiving a localized geographical vehicle feature map at the vehicle from a remote server, wherein the localized geographical vehicle feature map includes geographical vehicle feature map data, wherein the geographical vehicle feature map data includes geographical regions associated with vehicle feature data that indicates whether one or more vehicle features are enabled and/or disabled; monitoring vehicle location; based on the monitoring of the vehicle location, determining that the vehicle is located within or approaching a particular geographical region of the geographical regions included in the localized geographical vehicle feature map; determining at least one vehicle feature associated with the particular geographical region based on accessing the localized geographical vehicle feature map; and enabling and/or disabling the at least one vehicle feature based on information contained

Abstract: A method for communicating between an operating point, which externally controls an automatically driving vehicle, and a further road user. The method includes identifying the further road user and setting up a communication connection between the operating point and the further road user.

Abstract: The present disclosure relates to a vehicle control device provided in a vehicle and a method for controlling the vehicle. A vehicle control device provided in a vehicle according to the present disclosure, as a vehicle control device for controlling the vehicle, may include a communication unit configured to receive a map having a plurality of layers from a server; and a processor configured to generate a control signal for driving the vehicle using the map, wherein a control region that is a reference for the generation of the control signal around a location of the vehicle is defined differently according to a preset reference.

Abstract: A vehicle includes an autonomous driving system that can determine whether an interruption of autonomous driving control is required. The autonomous driving system can determine that interruption is required based on an evaluation value dependent upon a target position and a control position, and an evaluation value threshold. The vehicle further includes communication systems that provide interruption information on the autonomous driving control to an occupant of the vehicle and to other vehicles around the vehicle if it is determined that the interruption of the autonomous driving control is required.

Abstract: The present disclosure provides systems and methods to test an autonomous vehicle. In particular, the systems and methods of the present disclosure can receive, from one or more test nodes of a preconfigured test track, log data indicating positions of elements of the test track over a period of time. Log data indicating parameters of an autonomous vehicle over the period of time can be received from the autonomous vehicle. The log data indicating the positions of the elements of the test track over the period of time can be compared with the log data indicating the parameters of the autonomous vehicle over the period of time to determine a performance metric of the autonomous vehicle on the test track over the period of time.

Abstract: A control system for controlling an earthmoving machine operating at a worksite is disclosed. The control system includes a receiving unit to receive a first input indicative of a terrain profile of the worksite, a second input indicative of a target terrain profile for the worksite, and a third input indicative of machine characteristics. The control system also includes a mission planning controller to generate an excavation plan based on the first input, the second input, and the third input. The controller controls operation of the machine, based on the generated excavation plan, to obtain an excavated terrain profile. Further, the controller determines whether the excavated terrain profile matches with the target terrain profile, and operates the machine based on inputs indicative of the excavated terrain profile, the second input, the third input, and an extent of match between the excavated terrain profile and the target terrain profile.