Abstract: A vehicle control apparatus for controlling a vehicle, includes a traveling control unit configured to control traveling of the vehicle including a course change, and a regulation unit configured to regulate a plurality of course changes of the vehicle within a predetermined period by the traveling control unit. Regulation by the regulation unit is changed based on a situation of the vehicle at the time of traveling.

Abstract: The present disclosure provides an autonomous vehicle and associated interface system that includes multiple vehicle interface computing devices that provide redundant vehicle commands. As one example, an autonomous vehicle interface system can include a first vehicle interface computing device located within the autonomous vehicle and physically coupled to the autonomous vehicle. The first vehicle interface computing device can provide a first plurality of selectable vehicle commands to a human passenger of the autonomous vehicle. The autonomous vehicle interface system can further include a second vehicle interface computing device that provides a second plurality of selectable vehicle commands to the human passenger. For example, the second vehicle interface computing device can be the passenger's own device (e.g., smartphone). The second plurality of selectable vehicle commands can include at least some of the same vehicle commands as the first plurality of selectable vehicle commands.

Abstract: A vehicle control system includes a vehicle, an information terminal apparatus that can provide, on a display unit, a plurality of contents which provide training on an operation method of the vehicle, and a server that can communicate with the vehicle and the information terminal apparatus. The information terminal apparatus includes a display control unit configured to cause the display unit to display a first content that provides training on an operation method including a method to start an operation of a specific function of the vehicle and a second content that provides, to a user of the vehicle who has been trained by the first content and is registered in the server, training on an operation method corresponding to a phenomenon that can occur while the specific function is provided.

Abstract: During automated driving of a vehicle, an automated driving system searches for a driver's acceptable range being a range of an automated driving parameter accepted by a driver of the vehicle. A positive response is the driver's response when the automated driving parameter is within the driver's acceptable range. A negative response is the driver's response when the automated driving parameter is beyond the driver's acceptable range. The automated driving system executes: parameter change processing that actively changes the automated driving parameter; response determination processing that determines whether the driver's response to the parameter change processing is the positive response or the negative response based on a result of detection by a driver response detection device; and search processing that repeatedly executes the parameter change processing and the response determination processing to search for the driver's acceptable range.

Abstract: A lane departure prevention apparatus (17) has: a departure preventing device (172) for preventing a vehicle (1) from departing from a driving lane by controlling at least one of a steering apparatus (142) and a braking apparatus (13) selected on the basis of a state of the vehicle, when it is determined that the vehicle may depart from the driving lane; and a determining device for determining whether or not an abnormality condition that it is difficult for a person to normally drive the vehicle is satisfied, the departure preventing device prevents the vehicle from departing from the driving lane by controlling the braking apparatus even if the state of the vehicle is not a predetermined state in which the departure preventing device should prevent the vehicle from departing from the driving lane by controlling the braking apparatus, when it is determined that the abnormality condition is satisfied.

Abstract: Technologies for steering sensors in a sensor carrier structure on an autonomous vehicle (AV) are described herein. In some examples, a sensor positioning platform on an AV can include an actuator system including a motor configured to move and reposition a sensor carrier structure having a plurality of sensors; a motor controller configured to receive instructions for controlling the motor to reposition the sensor carrier structure and, based on the instructions, send to the motor control signals configured to control the motor to reposition the sensor carrier structure; one or more hoses arranged within tubes mounted to a portion of the actuator system and configured to output sensor cleaning substances through a thru-bore on the actuator system; and one or more cleaning systems configured to receive the sensor cleaning substances and spray the sensor cleaning substances on one or more sensors on the sensor carrier structure.

Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.

Abstract: An autonomous driving system includes an information acquiring device configured to acquire driving environment information and a travelling control device configured to execute lane change control from a first lane to a second lane during autonomous driving based on the driving environment information. The travelling control device is configured to perform a continuation determining process of determining whether to continue the lane change control based on a combination of a progress level and an influence level when a subsequent vehicle in the second lane is detected based on the driving environment information and a stop request for execution of the lane change control is detected after execution of the lane change control has started. The progress level represents progress of the lane change control and the influence level represents a predicted degree of influence of continuing the lane change control on the subsequent vehicle.

Abstract: Systems and methods are provided for on-demand delivery of a payload by an unmanned vehicle. An unmanned vehicle may comprise a chamber configured to house a payload and adjust a payload state. The payload state may be adjusted based on detection of a tampering event. An unmanned vehicle may also comprise an authentication system configured to allow access to the payload.

Abstract: Provided is a parking assistance method capable of storing surrounding situation of a parking target position appropriate to be referred to during autonomous parking. The parking assistance method of storing the surrounding situation of the parking target position when parking at the parking target position and executing the autonomous parking using the stored surrounding situation, includes a step of detecting the surrounding situation; a step of indicating the detected surrounding situation; a step of receiving a determination of whether the indicated surrounding situation are appropriate input by an occupant; and a step of storing the surrounding situation when the determination of appropriateness is input by the occupant.

Abstract: An autonomous driving support apparatus (100) is mounted on an autonomous vehicle (10) to perform autonomous driving using dynamic map data. A dynamic map storage unit (141) stores the dynamic map data. A use condition storage unit (142) stores use condition information in which a use condition of the dynamic map data is set. A determination unit (120) determines whether or not the autonomous driving by the autonomous vehicle (10) is possible, based on the dynamic map data stored in the dynamic map storage unit (141) and the use condition information stored in the use condition storage unit (142).

Abstract: Assemblies of a vehicle positioning system, system and method thereof are disclosed. In an embodiment a ground assembly for a vehicle positioning system includes a first ground assembly antenna, wherein the ground assembly is configured to function together with a vehicle assembly of the vehicle positioning system to determine a position of the vehicle assembly relative to the ground assembly, and wherein a determination of the position is performed by utilizing a neural network.

Abstract: A projection apparatus for use with a movable body is provided. The projection apparatus includes a parking controller configured to cause the movable body to automatically move to a parking space, and a projector configured to project light onto a road surface in vicinity of the movable body. When the parking controller causes the movable body to automatically park in the parking space, the projector projects the light onto the road surface located within a predetermined distance from the movable body.

Abstract: An autonomous vehicle including a communication system in communication with a computing system. The computing system runs computer-executable instructions that may examine a profile of a passenger. The computer-executable instructions may include detecting a safe opportunity for the passenger to exit the autonomous vehicle. In response to detecting the safe opportunity, and if the profile of the passenger requests so, the autonomous vehicle may cause a speaker on the autonomous vehicle to audibly notify and guide the passenger to exit the autonomous vehicle safely during the safe opportunity.

Abstract: A vehicle control system includes a control device configured to execute specific automatic driving control; an image capturing device configured to capture a surrounding image of a vehicle; a display device configured to display the surrounding image; and a recording device configured to record the surrounding image. The control device includes: a first determining unit configured to determine whether the vehicle is present on a road where the specific automatic driving control is executable; and a second determining unit configured to determine whether a request to display the surrounding image is present. In a case where the first determining unit determines that the vehicle is present on the road where the specific automatic driving control is executable and the second determining unit determines that the request to display the surrounding image is absent, the recording device records the surrounding image.

Abstract: A vehicle control system includes an automated driving control unit that automatically controls at least one of acceleration/deceleration and steering of a subject vehicle, the automated driving control unit performing automated driving control in any one of a plurality of modes with different degrees of automated driving, and an interface control unit that receives an operation of an occupant of the subject vehicle and restricts an operation with respect to an interface device on which predetermined information is output, according to the mode of automated driving performed by the automated driving control unit, and when the change to the mode of the automated driving in which the degree of automated driving decreases is performed in a state in which the restriction is relaxed or released, the interface control unit causes a state of the interface device to return to a state before the restriction is relaxed or released or performs a predetermined notification before a predetermined time at which the change

Abstract: In one embodiment, in response to a request to make a three-point turn for an autonomous driving vehicle (ADV), a forward turning path is generated using a first spiral function based on a maximum forward curvature change rate. A backward turning path is generated using a second spiral function based on a maximum backward curvature change rate. The forward and backward curvature change rates may be determined based on the maximum forward and backward turning angles associated with the ADV, which may be specified as a part of vehicle specification or vehicle design of the ADV. The backward turning path is initiated from an end point of the forward turning path. A three-point turn path is then generated based on the forward turning path and the backward turning path. The ADV is then driven according to the three-point turn path by issuing one or more proper control commands.

Abstract: A computing system for a vehicle includes one or more processors for controlling operation of the computing system, and a memory for storing data and program instructions usable by the one or more processors. The one or more processors are configured to execute instructions stored in the memory to determine when the vehicle is currently in a user-selected predefined driving situation and, responsive to the determination, control operation of the vehicle to implement a vehicle response mode associated with the user-selected predefined driving situation. The vehicle response mode may include an initial control mode specifying one or more initial indicators of the vehicle response mode, and a conditional secondary control mode specifying one or more secondary indicators of the vehicle response mode. The one or more initial indicators and the one or more secondary indicators are configured to be perceivable by a person exterior of the vehicle.

Abstract: A traveling control apparatus comprises: a control unit configured to control traveling of a vehicle to switch between first traveling control that does not need monitoring by a driver and second traveling control that needs monitoring by the driver; and a recognition unit configured to recognize a state of the driver, wherein in a case in which traveling of the vehicle by the first traveling control is impossible, in accordance with a result of recognition by the recognition unit, the control unit performs switching from the first traveling control to the second traveling control, or executes third traveling control of making a safety margin larger than in the first traveling control without switching from the first traveling control to the second traveling control.

Abstract: Among other things, a determination is made that intervention in an operation of one or more autonomous driving capabilities of a vehicle is appropriate. Based on the determination, a person is enabled to provide information for an intervention. The intervention is caused in the operation of the one or more autonomous driving capabilities of the vehicle.

Abstract: A system consisting of a vehicle which is autarchically mobile in the outdoor area on a property and a surveillance module which can be attached to the vehicle, wherein the surveillance module has surveillance sensors for carrying out surveillance of the property. The surveillance module can be replaced with a work module. Plant care activities can be performed with the work module.

Abstract: A vehicle control device includes a control instruction unit (ALC switch) that gives an instruction to perform one of lane change assistance control in which guidance of lane change is provided to a vehicle occupant through a notification unit (HMI) and automated lane change control in which travel control required for movement from a travel lane to a target lane is automatically performed as lane change control performed in the lane change in accordance with vehicle occupant's operation.

Abstract: A method, a system, and a computer program for identification of at least one road work extension in a geographical location are provided. The method includes, for example, the process of building and accessing a map for the geographic location curated with the marking of one or more road work zones corresponding to the at least one road work extensions. To calculate road work extension, the method includes obtaining a plurality of lane markings on a road work link and determine a start and an end offset of at least one link using obtained lane marking observations. Further, the method includes generating the road work extension data comprising co-ordinates of each of the start position and the end position of the road work extension, based on the determined link start offset and the link end offset.

Abstract: A vehicle and a vehicle controlling method are provided. The vehicle includes a computing system; a vehicle controlling module coupled to the computing system; and a positioning module coupled to the computing system and the vehicle controlling module. The vehicle controlling module receives a safe stop path and a fusion coordinate from the computing system. When the vehicle controlling module determines that an abnormality occurs in the computing system, the vehicle controlling module receives a positioning coordinate from the positioning module and calculates an offset corresponding to the positioning coordinate and the fusion coordinate. The vehicle controlling module transmits a vehicle controlling command to the vehicle according to the offset and the safe stop path.

Abstract: It is provided a method for enabling remote control of a vehicle with autonomous propulsion capability. The method is performed by a vehicle data provider and comprises: detecting a need for manual assistance of the vehicle by an operator being remote from the vehicle; obtaining a stream of vehicle data, the vehicle data relating to a time prior to when remote control starts; modifying the vehicle data, which comprises adjusting a duration of playback of the vehicle data; providing the modified vehicle data for playback to the operator; providing, once the playback of modified vehicle data has ended, vehicle data in real-time to the operator; and enabling remote control of the vehicle by the operator.

Abstract: A self-moving gardening robot, including a positioning module, a control module, a material cavity, and a working module. The positioning module of the self-moving gardening robot is configured to perform path planning, and the control module controls the self-moving gardening robot to travel according to planned path; and the working module performs a corresponding work when the self-moving gardening robot travels. When the material cavity contains different materials, the self-moving gardening robot may finish different functional tasks based on a same control procedure. In one of embodiments, the self-moving gardening robot is further provided with an accessory interface. By connecting different functional accessories through the accessory interface, the self-moving gardening robot implements multiple functions.

Abstract: An autonomous work vehicle having a chassis, a power system disposed on the chassis, a field wheel system coupled to the chassis and the power system, and a hitch assembly. The power system is configured to power the autonomous work vehicle in an autonomous control mode. The field wheel system is configured to drive the autonomous work vehicle in a field in the autonomous control mode. The hitch assembly is configured to couple to a lead vehicle in a transport mode. The autonomous work vehicle may engage wheels of a transportation wheel system with a road to support the autonomous work vehicle on the road. The autonomous work vehicle may be coupled via the hitch assembly to the lead vehicle, then transported on a road. A brake system of the transportation wheel system may be coupled to the lead vehicle.

Abstract: Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, an identity of a vehicle operator may be determined and a vehicle operator profile and/or operating data regarding autonomous operation features of the vehicle may be received after the vehicle operator opts into a rewards program and agrees to share their data. Autonomous operation and vehicle operator risk levels associated with operation of the autonomous or semi-autonomous vehicle may be determined. Based upon the risk levels and/or comparison thereof, one or more autonomous operation features may be disengaged. A preparedness level of the vehicle operator to assume or reassume control of operating the vehicle is determined prior to disengagement. If satisfactory, an alert is presented to the vehicle operator prior to disengagement of the autonomous operation features.

Abstract: A method includes constructing a map of an environment based on mapping data produced by an autonomous cleaning robot in the environment during a first cleaning mission. Constructing the map includes providing a label associated with a portion of the mapping data. The method includes causing a remote computing device to present a visual representation of the environment based on the map, and a visual indicator of the label. The method includes causing the autonomous cleaning robot to initiate a behavior associated with the label during a second cleaning mission.

Abstract: The present disclosure provides a vehicle control method, a computer device and a storage medium. The method includes: when a moving direction of a pedestrian is detected to be toward an intersection in front of a vehicle during driving of the vehicle, determining a first time required for the pedestrian to move from a current position of the pedestrian and a second time required for the vehicle to move from a current position of the vehicle to the front intersection according to a current motion state of the pedestrian and a current driving state of the vehicle, respectively, determining a control strategy of the vehicle according to a distance range to which a first distance between the vehicle and the intersection belongs, the first time and the second time, and when the vehicle drives toward the intersection, controlling the vehicle to make, according to the distance between the vehicle and the intersection, a prompt corresponding to the distance to the pedestrian.

Abstract: A method and apparatus for supplying cables to robots at non-static locations. A work platform for supporting one or more humans is positioned above a base platform for supporting one or more are robots independently of the work platform. A cable carrier system for providing cables to the robots is positioned underneath the work platform and above the base platform.

Abstract: Systems and methods for providing navigation to a vehicle may include receiving observation data from one or more sensors of the vehicle, generating projection data corresponding to the one or more traffic participants based on the observation data for each time step within a time period, and predicting interactions between the vehicle, the one or more traffic participants, and the one or more obstacles, based on the projection data of the one or more traffic participants. The systems and methods may further include determining a set of actions by the vehicle corresponding to a probability of the vehicle safely arriving at a target location based on the predicted interactions, and selecting one or more actions from the set of actions and provide the one or more actions to a navigation system of the vehicle, wherein the navigation system uses the navigation data to provide navigation instructions to the vehicle.

Abstract: A method at a computing device associated with a road user, the method including detecting actions of a second road user; checking the actions against rules associated with the computing device; determining that the actions of the second road user contravene the rules; and providing a report regarding the actions of the second road user.

Abstract: Aspects of the present invention disclose a method for identifying autonomous vehicles that are causing traffic congestion due to anticipation of a pick-up event. The method includes one or more processors obtaining data of one or more sensors of an autonomous vehicle. The method further includes obtaining video data of a location that includes the autonomous vehicle. The method further includes determining a route of the autonomous vehicle based at least in part on the video data of the location that includes the autonomous vehicle. The method further includes determining whether the autonomous vehicle is performing a traffic infraction based at least in part on the route of the autonomous vehicle.

Abstract: A social driving style learning framework or system for autonomous vehicles is utilized, which can dynamically learn the social driving styles from surrounding vehicles and adopt the driving style as needed. Each of the autonomous vehicles within a particular driving area is equipped with the driving style learning system to perceive the driving behaviors of the surrounding vehicles to derive a set of driving style elements. Each autonomous vehicle transmits the driving style elements to a centralized remote server. The server aggregates the driving style elements collected from the autonomous vehicles to determine a driving style corresponding to that particular driving area. The server transmits the driving style back to each of the autonomous vehicles. The autonomous vehicles can then decide whether to adopt the driving style, for example, to follow the traffic flow with the rest of the vehicles nearby.

Abstract: A method is provided that includes a vehicle receiving data from an external computing device indicative of at least one other vehicle in an environment of the vehicle. The vehicle may include a sensor configured to detect the environment of the vehicle. The at least one other vehicle may include at least one sensor. The method also includes determining a likelihood of interference between the at least one sensor of the at least one other vehicle the sensor of the vehicle. The method also includes initiating an adjustment of the sensor to reduce the likelihood of interference between the sensor of the vehicle and the at least one sensor of the at least one other vehicle responsive to the determination.

Abstract: A method for autonomous navigation of an autonomous vehicle includes: estimating a stopping duration, for the autonomous vehicle to reach a full stop, based on a current speed of the autonomous vehicle; calculating a critical time from the current time by the stopping duration; detecting an object in a scan image, of a field proximal the autonomous vehicle, captured by a sensor on the autonomous vehicle at the current time; based on the scan image, deriving a current location and motion of the object; calculating a future state boundary that represents a ground area accessible to the object up to the critical time based on the current location and motion of the object and a set of predefined motion limit assumptions for generic objects proximal public roads; and electing a navigational action to avoid entry into the future state boundary prior to the critical time.

Abstract: A backup control server for reducing dangers to automation systems of autonomous vehicles includes a memory and a processor. The processor is programmed to detect an anomalous event which may include one of a geomagnetic interference event and a cyber-attack event. The processor may also be programmed to perform a threat assessment for the anomalous event relative to an automation system of a vehicle. The automation system may be configured to control an aspect of autonomous operation of the vehicle. The processor may be further programmed to determine one or more mitigating actions to perform on the automation system based upon the threat assessment. The one or more mitigating actions are configured to reduce a danger to the vehicle presented by the anomalous event. The processor may also be programmed to transmit to the vehicle instructions to perform one or more mitigating actions on the automation system.

Abstract: An autonomous vehicle brake failure handling method is provided. The method includes detecting a brake system failure of the autonomous vehicle and transmitting a rescue request signal to a control server when the failure is detected. A bumper of the autonomous vehicle is moved into contact with a preceding autonomous vehicle bumper or the autonomous vehicle is docked with the preceding autonomous vehicle through speed control and steering control. The autonomous vehicle having the failure-detected brake system is completely braked under deceleration control of the preceding autonomous vehicle when the autonomous vehicle bumper and the preceding autonomous vehicle bumper are in contact with each other or when the docking of the autonomous vehicle and the preceding autonomous vehicle has been completed.

Abstract: The present driving assistance apparatus assists driving from a vehicle stop state in a predetermined area. The apparatus acquires outside world information from the surroundings of a vehicle, detects a place and position to which the vehicle can move, detects a position of the vehicle, calculates a movement route when the vehicle moves in a predetermined direction by automatic driving from a vehicle stop state in a predetermined area, and determines a safety confirmation position at which the driver can visually confirm a surrounding traveling environment on the movement route. The route is calculated based on the outside world information and the position of vehicle. The driving assistance apparatus reduces a speed of the vehicle to a predetermined speed or less so that the driver can visually confirm the surrounding traveling environment at the safety confirmation position.

Abstract: The present document describes an autonomous driving assistance system, a roadside assistance system and a vehicle-mounted assistance system. The autonomous driving assistance system may include at least one roadside sensor, a roadside device, a roadside Vehicle to Everything (V2X) communication device and a vehicle-mounted V2X communication device. The at least one roadside sensor may be configured to collect environment information of a surrounding environment and transmit the environment information to the roadside device. The roadside device may be configured to process the received environment information to obtain perception information and transmit the perception information to the roadside V2X communication device. The roadside V2X communication device may be configured to transmit the received perception information to the vehicle-mounted V2X communication device.

Abstract: In an example, a method determines a first controllable vehicle traveling along a mitigation road segment of a roadway and determines a control lane in the mitigation road segment. The control lane includes the first controllable vehicle and is impedible by the first controllable vehicle. The method determines a first open lane in the mitigation road segment and applies a target mitigation speed to the first controllable vehicle in the control lane. The first open lane is adjacent to the control lane in the mitigation road segment and the target mitigation speed is based on a traffic state of the first open lane. The target mitigation speed adjusts a traffic stream that flows through the first open lane to mitigate traffic congestion located downstream of the mitigation road segment.

Abstract: A control system 2 for a flying object includes at least one marker 6, which corresponds to control information related to the control of the flying object, a reading unit 12 for reading the control information, and a flight information transmitting unit 14 for transmitting flight information to the flying object based on the control information read by the reading unit.

Abstract: An unmanned aerial vehicle (UAV) includes one or more propulsion units that effect flight of the UAV, an application processing circuit configured to verify a validity of a system image of the UAV in a secure environment, and a flight control circuit operably coupled to the application processing circuit. Generation and/or transmission of control signals from the flight control circuit to one or more electronic speed controllers (ESC controllers) is prevented prior to verification of the validity of the system image.

Abstract: A vehicle control device (1) includes an automated driving control unit (100) configured to execute automated driving of a vehicle and an acquisition unit (124) configured to acquire movement states in a running direction and a lateral direction of the vehicle. The automated driving control unit is configured to execute the automated driving such that the movement states which have been acquired by the acquisition unit before the automated driving has been started are maintained in a predetermined time or a predetermined distance when automated driving has been started by switching from manual driving.

Abstract: In an approach, one or more computer processors determine that a user is in a vehicle. The one or more computer processors identify historical vehicle occupancy data of the user. The one or more computer processors monitor one or more driving metrics of the vehicle while the user is an occupant. The one or more computer processors determine whether a vehicle exceeds a threshold based, at least in part, on a comparison of the monitored one or more driving metrics and the identified historical vehicle occupancy data. The one or more computer processors determine an action based, at least in part, on the vehicle exceeding the threshold.

Abstract: Signals usable to determine a path of a vehicle towards a particular stopping point in a vicinity of a destination are detected from an individual authorized to provide guidance with respect to movements of the vehicle. Based at least in part on the signals and a data set pertaining to the external environment of the vehicle, one or more vehicular movements to be implemented to proceed along the path are identified. A directive is transmitted to a motion control subsystem of the vehicle to initiate one of the vehicular movements.

Abstract: A vehicle and a control method thereof are capable of performing autonomous navigation by diagnosing a failure of the vehicle and a neighboring vehicle on the basis of position information derived by the vehicle and the neighboring vehicle. The vehicle includes a sensor unit, a communication unit configured to communicate with a neighboring vehicle, and a control unit. The control unit is configured to determine first position information of the vehicle on the basis of information acquired by the sensor unit, receive second position information of the vehicle determined by the neighboring vehicle, and determine that at least one of the vehicle or the neighboring vehicle is in a failure state when a difference between the first position information and the second position information exceeds a reference value.

Abstract: The present invention provides a vehicle control apparatus that controls automated driving of a vehicle, comprising: a first travel controller configured to control travel of the vehicle; a second travel controller configured to control travel of the vehicle based on an instruction from the first travel controller; a first controller configured to control a first actuator based on an instruction from the first travel controller; and a second controller configured to control a second actuator based on an instruction from the second travel controller, wherein in a case in which degradation of a communication function between the first travel controller and the second travel controller is detected in a state where the actuator group is performed by the second controller, alternative control of the vehicle is performed by the second travel controller.

Abstract: According to some embodiments, a system receives a first control command and a speed measurement of the ADV. The system determines an expected acceleration of the ADV based on the speed measurement and the first control command. The system receives an acceleration measurement of the ADV. The system determines a feedback error based on the acceleration measurement and the expected acceleration. The system updates a portion of the calibration table based on the determined feedback error. The system generates a second control command to control the ADV based on the calibration table having the updated portion to control the ADV autonomously according to the second control command.