Abstract: A controlled intersection employs video analytics to identify incoming vehicles coupled with autonomous driving capabilities in the vehicle to selectively provide intervention for collision avoidance. A camera image of an approaching vehicle is used to identify a range and speed, and to compute whether intervention is appropriate based on a detected distance and speed from the intersection. A vehicle approaching a stop signal (e.g. “red light”) at an unsafe rate of speed triggers an invocation of on-board autonomous systems in the vehicle that provide appropriate warnings and ultimately, forced braking if warnings go unheeded. A registration system maintains a local grouping of vehicles in proximity to an intersection for minimizing latency in vehicle identification for commencing intervention. In this manner, on-board vehicle collision avoidance systems collaborate with complementary traffic control logic at a controlled intersection for preventing inadvertent or intentional disregard of a red signal.

Abstract: Disclosed in the present disclosure are a method and an apparatus for determining a vehicle speed control model training sample. The method includes: a lane in map data is divided into a first lane area and a second lane area, and to-be-measured vehicle speed control features indicated by the two lane areas are different; the to-be-measured vehicle speed control features are determined as target vehicle speed control feature when a difference between a first empirical highest vehicle speed distribution and a second empirical highest vehicle speed distribution is greater than or equal to a preset difference threshold; and starting coordinates and ending coordinates of each preset lane section in the map data, and the target vehicle speed control features and a vehicle speed control label in the preset lane section are taken as a vehicle speed control model training sample.

Abstract: Provided is a apparatus for assisting driving of a host vehicle, the apparatus comprising: at least one sensor of an image sensor or a radar sensor mounted to the host vehicle and having a field of view outside of the host vehicle; and a controller communicatively connected to the at least one sensor, wherein the controller is configured to: identify at least one surrounding vehicle around the host vehicle based on processing an output of the at least one sensor, calculate a target inter-vehicle distance based on the own vehicle speed and a driver set distance received from a driver, and vary the calculated target inter-vehicle distance based on driving information of the at least one surrounding vehicle.

Abstract: The present invention obtains a controller and a control method capable of improving safety of adaptive cruise operation in a motorcycle. In the controller for operation of the motorcycle, to which a surrounding environment detector is mounted, an adaptive cruise operation performing section controls deceleration to be generated by the motorcycle in adaptive cruise operation to be equal to or lower than an upper limit value or to be lower than the upper limit value, determines a collision possibility of the motorcycle on the basis of the upper limit value during the adaptive cruise operation, and performs warning operation that acts on a tactile organ of a rider of the motorcycle when determining that the collision possibility is high.

Abstract: A system and a method for adjusting a yielding space of a platoon are provided. The system can include camera modules, sensors, interface circuitry, processing circuitry, and memory. The sensors can detect one or more behaviors of one or more vehicles adjacent to the platoon. The processing circuitry can determine one or more triggering events between the one or more vehicles and the platoon based on the one or more behaviors. The processing circuitry can adjust the yielding space of the platoon.

Abstract: A platooning control system includes a platoon controller that generates environmental maps used for platooning of vehicles, and a travel controller that controls travel of a following vehicle following a leading vehicle. The platoon controller generates the environmental maps each representing the position of an object around the vehicles, and delivers the maps to the following vehicle. The travel controller transmits object information indicating the position of an object detected from environmental data outputted by an environmental sensor mounted on the following vehicle to the platoon controller, executes update so that the position of the object represented in the latest environmental map is changed to the position of the object at the time when the following vehicle reaches the position of the leading vehicle represented in the latest environmental map, and controls travel of the following.

Abstract: A travel control method is provided, in which a subject vehicle is controlled to autonomously travel on a road including intersections, the travel control method comprising: determining whether or not an intersection for the subject vehicle to seek to pass straight through is an offset intersection that is offset to the right or left with respect to a direction straight ahead of the subject vehicle; and when the intersection is an offset intersection, controlling the subject vehicle to pass through the intersection at a lower speed than when the intersection is not an offset intersection.

Abstract: A speed of a target vehicle in a target lane of operation is determined relative to a host vehicle in a host lane of operation. A virtual boundary is determined around the target vehicle based on the speed of the target vehicle. A position in the target lane and outside the virtual boundary is selected based on a) a first cost function for a deviation of a speed of the host vehicle from a requested speed, and b) a second cost function for a frequency of lane changes. Upon determining to move the host vehicle from the host lane to the target lane, the host vehicle is operated to the position in the target lane.

Abstract: A traveling lane planning device comprises a processor configured to select multiple spaces on an adjacent lane which allow the vehicle to move from the traveling lane, to calculate an evaluation value for each space based on a distance from a current location of the vehicle to a movement completion location where movement to the adjacent lane is to be complete, as determined based on terrain restrictions, a length of the space, a positional relationship between the current location of the vehicle and the space, a size of acceleration or deceleration estimated to take place with the vehicle while it travels from the current location to the location along the space, and a first speed difference between a space speed and a target speed of the vehicle, and to set one space to be a destination from among multiple spaces based on the evaluation value.

Abstract: The present disclosure provides a method for generating road topology information performed by at least one processor. With respect to coordinate data of a road, boundary conditions between segments including topology information may be calculated to make the connection between segments flexible, and a midpoint of a curve of a segment may be detected to directly calculate control points of a Bézier curve, thereby generating a parametric Bézier curve. Accordingly, more precise road map may be generated even when the coordinate data of the segment of the road includes an error.

Abstract: A system and method for controlling a merge vehicle travelling along a highway having a merge lane and a main lane. The method includes receiving merge data about the merge vehicle and a surrounding environment of the merge vehicle. The method includes detecting an intent to perform a merge maneuver by the merge vehicle from the merge lane to the main lane based on the merge data. Further, the method includes generating a graph having a plurality of nodes connected by edges. The plurality of nodes includes a start node set to a current position of the merge vehicle and a goal node located in the main lane after the merge lane has ended. The method includes calculating a three-dimensional (3D) trajectory based on the graph by optimizing edge costs from the start node to the goal node, and controlling the merge vehicle based on the 3D trajectory.

Abstract: Systems and methods for operating a hybrid vehicle during an end of assembly line test are presented. In one example, torque of an integrated starter/generator (ISG) is adjusted so that the ISG may not affect engine data that is collected during end of assembly line engine testing. The collected engine data may be a basis for adapting engine operation.

Abstract: A hardware processor of a mobile object executes the program stored in a storage device to acquire reference information with which a facility where an occupant is likely to stop by is identifiable; to recognize whether a mobile object is moving on a roadway or a predetermined region different from the roadway; to recognize presence of a contact portion between the predetermined region and the roadway in a traveling direction of the mobile object; to partially control a speed of the mobile object; to limit a speed of the mobile object moving on the roadway to a first speed; to limit a speed of the mobile object moving on the predetermined region to a second speed lower than the first speed; and to bring a speed of the mobile object to the second speed when the mobile object is moving on the roadway, the contact portion is recognized within a predetermined range from the mobile object, and it is determined with reference to the reference information that there is a facility where the occupant is likely to stop

Abstract: According to one aspect, a method includes obtaining, at a first unit, a first signal, and storing an indication of an arrival time of the first signal in a register of the first unit. The method also includes obtaining a digital signal to be provided to a controller area network (CAN) circuit system, the CAN circuit system being included in the first unit, adding the indication to the digital signal, wherein adding the indication to the digital signal creates an updated digital signal, and providing the updated digital signal to the CAN circuit system.

Abstract: A working vehicle includes a vehicle body, a linkage provided on the vehicle body to link a working device, a controller to cause the vehicle body to perform automatic travel, a rear obstacle detector to detect obstacles behind the vehicle body, and a setting changer to change rear setting information regarding obstacle detection performed by the rear obstacle detector.

Abstract: A method includes an initial trailer health assessment and real-time trailer health monitoring. The initial trailer health assessment includes autonomous pre-trip maneuvers of the autonomous vehicle during a first time period, and detecting a pre-trip vehicle health condition. A vehicle health score is calculated based on the pre-trip vehicle health condition. If the vehicle health score is at least a threshold value, real-time trailer health monitoring is performed during a trip of the autonomous vehicle during a second time period, by actively monitoring vehicle dynamics data and/or image data associated with the autonomous vehicle, to determine a fault condition of the autonomous vehicle. If the fault condition meets a first criteria, a control parameter and/or a travel plan of the autonomous vehicle is adjusted. If the fault condition meets a second criteria different from the first criteria, a signal is sent to cause the autonomous vehicle to cease movement.

Abstract: A navigation instruction of an autonomous vehicle is detected. The autonomous vehicle is in an environment. The autonomous vehicle is communicatively coupled to a plurality of sensors configured to capture environmental information of the environment. An anomalous sensor status of a first sensor of the plurality of sensors is determined based on the plurality of sensors. An air measurement is identified in response to the anomalous sensor status and based on a second sensor of the plurality of sensors. The air measurement is adjacent to the autonomous vehicle. Autonomous movement operation of the autonomous vehicle is directed in response to the movement instruction and based on the air measurement.

Abstract: A changing operation assisting apparatus includes a driving assistance control section, an operation section, and an information providing section. The driving assistance control section stores set states regarding driving assistance functions of a vehicle and provides the functions in accordance with the set sates. The set state includes a request state of the function. The operation section is used for changing the set state. The information providing section provides information regarding the set state to a driver of the vehicle. Further, the driving assistance control section executes a setting change confirmation processing upon satisfaction of a specific condition. The setting change confirmation processing is a process of providing confirmation information to confirm whether or not to change the request state of the function, and changing the request state of the function when the driver performs an approving operation in accordance with the confirmation information.

Abstract: Systems and methods of an intuitive two-dimensional warning indicator are provided. Various embodiments include a warning indicator for mounting on an instrument panel of a vehicle. The warning indicator may include a plurality of illumination bars defining a polygonal shape representing a two-dimensional layout of the vehicle's surroundings. The warning indicator may be configured to illuminate at least one illumination bar of the plurality of illumination bars based on a warning issued by a vehicle system of the vehicle. The driver may be able to see the warning indicator in his/her peripheral vision while looking forward while driving. Associated vehicles including the warning indicator are provided. Associated methods are also provided.

Abstract: A drive assist apparatus includes: an avoidance target recognition portion that recognizes an avoidance target which is a target with which a host vehicle should avoid coming into contact when traveling on a road; and an output control portion that causes an output device to output an advice for a driver who drives the host vehicle at a plurality of stages which include: a pre-stage before mutual passing between the host vehicle and the avoidance target; and a post-stage after the mutual passing.

Abstract: A driver assistance apparatus for assisting driving of a vehicle, comprises: a first detector which detects first state information related to driving of the vehicle; a second detector which detects second state information related to driving of the vehicle; first output circuitry which outputs a first signal based on the first state information; second output circuitry which outputs a second signal based on the second state information; and a controller which controls output of the first output circuitry and the second output circuitry. The controller controls, when the second output circuitry outputs the second signal during output of the first signal by the first output circuitry, the output of the first output circuitry so as to gradually decrease and controls the output of the second output circuitry so as to gradually increase.

Abstract: Systems and methods for dynamic sensor data adaptation using a deep learning loop are provided. A method includes classifying, using a discriminator model, a first object from first sensor data associated with a first sensing condition, wherein the discriminator model is trained for a second sensing condition different from the first sensing condition; generating, using a generator model in response to the discriminator model failing to classify the first object, second sensor data representing a second object comprising at least a modified element of the first object; classifying, using the discriminator model, the second object from the second sensor data; and adapting, based at least in part on a difference between the first object and the second object in response to the discriminator model successfully classifying the second object, a machine learning model associated with object classification for the first sensing condition.

Abstract: A system in facility includes a plurality of electric mobility vehicles, and a server which stores information of the electric mobility vehicles. In this system in facility, a user operates one of the electric mobility vehicles to move the electric mobility vehicle, after the user finishes using the electric mobility vehicle, the electric mobility vehicle moves to a standby area by automatic driving, and usage information of the electric mobility vehicle by the user is stored in a management data in a server, and at least one of a seating sensor for a seat unit and a occupancy sensor for a luggage carrier of the electric mobility vehicle is provided in each of the electric mobility vehicles.

Abstract: A rules of the road module and database determines rules using information about segments identified from locally captured image data and observables identified in the image data.

Abstract: Aspects of the disclosure provide for enabling autonomous vehicles to pull over into driveways when picking up or dropping off passengers or goods. For instance, a request for a trip identifying a first location and a second location may be received. The first location may be a location of a client computing device, and the second location may be a starting location or a destination for the trip. A user preference for the trip indicating that a pickup for the trip be in a driveway may be identified. That the first location corresponds with the second location may be identified. Based on the determination that the first location corresponds with the second location, dispatch instructions may be to an autonomous vehicle. The dispatch instructions may identify a polygon for a driveway at the second location in order to cause the autonomous vehicle to pull over into the driveway.

Abstract: A method is described and includes subsequent to an autonomous vehicle becoming immobilized, initiating a local assistance request; subsequent to the initiating, receiving local assistance input from a passenger of the autonomous vehicle; and using the local assistance input to determine an action to be taken by the autonomous vehicle to mobilize the autonomous vehicle.

Abstract: A system receives information describing paths traversed by vehicles of a vehicle type, for example, a bicycle or a motorcycle. The system determines locations along the paths. For each location the system determines a measure of likelihood of encountering vehicles of the vehicle type in traffic at the location. The system selects a subset of locations based on the measure of likelihood and obtains sensor data captured at the subset of locations. The system uses the sensor data as training dataset for training a machine learning based model configured to receive input sensor data describing traffic and output a score used for navigation of autonomous vehicles. The machine learning model is provided to a vehicle, for example, an autonomous vehicle for navigation of the autonomous vehicle.

Abstract: A vehicle control device of an embodiment recognizes that a first other lane is present at a position of a first other vehicle on the basis of a first relative distance between an own vehicle and the first other vehicle, recognizes an advancing direction of the first other lane on the basis of a first relative speed between the own vehicle and the first other vehicle, in a case where the recognized advancing direction of the first other lane is opposite to an advancing direction of an own lane, determines whether or not an adjacent lane of the own lane is an oncoming lane on the basis of at least two of the first relative distance, a second relative speed between the own vehicle and a second other vehicle, and map information including an advancing direction of a lane and the number of lanes, and in a case where it is determined that the adjacent lane is an oncoming lane, continues driving assistance or automated driving.

Abstract: The present technology provides systems, methods, and devices that can dynamically augment aspects of a map as an autonomous vehicle navigates a route, and therefore avoids the need for dispatching a special purpose mapping vehicle to keep navigating a route. As the autonomous vehicle navigates a route, the autonomous vehicle can determine that current data captured by at least one sensor of the autonomous vehicle describing a location is inconsistent with the primary map of the location. The autonomous vehicle can determine that a portion of the current data describes a second feature that is distinct from a first feature described by a primary map. The second feature can be added to an augmented map that is based on the primary map, and the position of the autonomous vehicle can be located with respect to the first feature rather than the second feature on the augmented map.

Abstract: An approach is provided for determining an autonomous vehicle reaction strategy when facing a wrong way driving vehicle. The approach, for example, involves processing mapping data, sensor data, or a combination thereof to develop a map of an area within a threshold distance of an autonomous vehicle in response to a detection of an oncoming vehicle that is driving in a wrong direction towards the autonomous vehicle. The approach also involves using a decision tree of a plurality of candidate strategies for avoiding the oncoming vehicle to select a strategy based on one or more attributes of the map. The approach further involves presenting the selected strategy in a user interface of the autonomous vehicle.

Abstract: In some implementations, a device associated with a vehicle may receive, based on user input to an interface of the vehicle, information indicating an incident associated with the vehicle, wherein the user input indicates at least one of: whether the incident is associated with the user of the vehicle, or whether the incident is associated with an event outside of the vehicle. The device may transmit, to a system and via a transceiver of the vehicle, a message indicating the incident associated with the vehicle. The device may receive, from the system and via the transceiver of the vehicle, an acknowledgement of the message, wherein the acknowledgement indicates a classification of the incident. The device may cause the vehicle to perform one or more actions based on the incident associated with the vehicle and based on the classification of the incident.

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: The present invention provides an autonomous vehicle lane change monitoring method and lane change monitoring system, wherein the lane change monitoring system comprises at least a reference vehicle, a test road, a network communication device, and a control platform, wherein the reference vehicle and the to-be-tested vehicle traveling on the test road, wherein the control platform sends a control instruction to the reference vehicle and the to-be-tested vehicle through the network communication device for the to-be-tested vehicle to change lane on the test road when appropriate, the driving data of the to-be-tested vehicle is transmitted to the control platform through the network communication device, so as for the control platform to evaluate the lane change performance of the to-be-tested vehicle based on the driving data.

Abstract: Technologies and techniques for operating an assistance system of a motor vehicle for providing a shoulder function. Under a first condition, a motor vehicle is detected on a shoulder of a roadway via at least one detecting apparatus in accordance with at least one predetermined first criterion. Under a second condition, a steering behavior of a driver of the motor vehicle is determined in accordance with a second criterion, where a shoulder function is executed in accordance with which an automatic driving intervention. Under a third condition, an obstacle ahead of the motor vehicle in the direction of travel is detected by the at least one detecting apparatus in accordance with a specified third criterion, where a control signal influencing the execution of the shoulder function is output.

Abstract: A travel plan generation device used for an autonomous driving system of a vehicle includes circuitry, in which the circuitry is configured to generate a restriction related to a quantity of state of the vehicle, and generate a target trajectory and a target vehicle speed of the vehicle as a travel plan so as to satisfy the restriction by using a Bayes filter as a state estimation calculation without a convergence calculation.

Abstract: According to various embodiments, systems, methods, and media for evaluating an open space planner in an autonomous vehicle are disclosed. In one embodiment, an exemplary method includes receiving, at a profiling application, a record file recorded by the ADV while driving in an open space using the open space planner, and a configuration file specifying parameters of the ADV; extracting planning messages and prediction messages from the record file, each extracted message being associated with the open space planner. The method further includes generating features from the planning message and the prediction messages in view of the specified parameters of the ADV; and calculating statistical metrics from the features. The statistical metrics are then provided to an automatic tuning framework for tuning the open space planner.

Abstract: A power supply facility includes a wireless communication unit capable of wirelessly communicating with a plurality of electric vehicles traveling in line, a plurality of power supply coils installed at a predetermined interval, and an inter-vehicle calculation unit configured to acquire a plurality of pieces of information including power supply coil interval information indicating a distance of the predetermined interval, information on an entire length of a vehicle body of each of the plurality of electric vehicles, and information on a position of a power reception coil installed in each of the vehicle bodies, and calculate an inter-vehicle distance for leading each of the plurality of electric vehicles to be parked in accordance with the acquired plurality of pieces of information so as to align the plurality of power supply coils with the power reception coils to face each other.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for agent trajectory prediction using anchor trajectories.

Abstract: A computing system for a vehicle may include processors to execute instructions to receive, by a middleware software layer of the computing system, messages published by one or more of a plurality of autonomous processing modules, and determine, by the middleware software layer, and based on the published messages, whether a similarity comparison of a first vehicle parameter and a second vehicle parameter satisfy a similarity threshold value. The first vehicle parameter and the second vehicle parameter relate to the messages published by the one or more autonomous processing modules. In response to determining that the similarity comparison of the first vehicle parameter and the second vehicle parameter does not satisfy the similarity threshold value, provide, by the middleware software layer, an instruction to a control system to cause the vehicle to perform an action, and cause, by the control system, the vehicle to perform the action.

Abstract: A vehicle control device includes a behavior instability acquirer, an automated driving advisability determination unit, and a switching time setting unit. The behavior instability acquirer acquires behavior instability of a vehicle. The automated driving advisability determination unit determines whether to continue automated driving on the condition that the vehicle is performing the automated driving. On the condition that the automated driving advisability determination unit determines that the automated driving is noncontinuable, the switching time setting unit determines switching time from the automated driving to manual driving on the basis of the behavior instability.

Abstract: A system and method for providing an RNN-based human trust model that include receiving a plurality of inputs related to an autonomous operation of a vehicle and a driving scene of the vehicle and analyzing the plurality of inputs to determine automation variables and scene variables. The system and method also include outputting a short-term trust recurrent neural network state that captures an effect of the driver's experience with respect to an instantaneous vehicle maneuver and a long-term trust recurrent neural network state that captures the effect of the driver's experience with respect to the autonomous operation of the vehicle during a traffic scenario. The system and method further include predicting a take-over intent of the driver to take over control of the vehicle from an automated operation of the vehicle during the traffic scenario.

Abstract: The use of short consists of powered and unpowered freight cars for moving cargo from its source to transfer facilities is described. The use of short consists of powered and unpowered freight cars can enable the efficient operation of unit trains. Single self-powered rail cars or short consists (up to about 25 cars) can overcome a number of problems associated with long unit trains such as dynamic instabilities, inability to stop quickly if needed and long headway time required between trains. A system of feeder trains (aggregators) to facilitate keeping unit trains in more or less constant motion is described. The use of gearing and shafts for power transmission from traction motors installed on various types of freight cars using the structure of the existing freight car truck is also described.

Abstract: This disclosure relates to system and method for docking or undocking a track-wheel based device. In some embodiments, the system may include a docking station configured to be fitted on a support track for the track-wheel based device. The docking station may include a protrusion to be fitted at a first position on the support track. The protrusion may be configured to make the track-wheel slide on the support track against the protrusion until an indentation on the track-wheel engages with the protrusion upon alignment. The system may further include an end-dock to be fitted at a second position on the support track. A segment of the support track between the first position and the second position is configured to accommodate the track-wheel during docking.

Abstract: A train management method includes sending a registration request to a takeover zone controller (ZC) in response to determining that the train enters an area of co-management, so that the takeover ZC calculates a second movement authority (MA) of the train according to the registration request and exchanges information with a handover ZC, determining a target MA according to a first MA of the handover ZC for the train and the second MA of the takeover ZC for the train, and traveling according to the target MA within the area of co-management. The area of co-management is composed of a part of an area of management of the handover ZC and a part of an area of management of the takeover ZC.

Abstract: A stroller (100) includes a frame (1), a handrail (2) and a dinner plate (3). The handrail (2) is installed on the frame (1) and located in front of the frame (1), and the dinner plate (3) is detachably connected with the handrail (2). With detachable connection of the dinner plate (3) and the handrail (2), the dinner plate (3) and the handrail (2) can work independently or together. When the dinner plate (3) is connected to the handrail (2), the stroller (100) has safety and feeding convenience. When the dinner plate (3) is removed from the handrail (2), the handrail (2) still can work, thus ensuring the safety of the stroller (100). It is convenient to remove the dinner plate (3) for cleaning at any time, thereby reducing difficulty of cleaning the dinner plate (3), and the replaceable dinner plate (3) can reduce maintenance cost. Therefore, the stroller (100) has the advantages of simple structure, and that the handrail (2) and the dinner plate (3) can work independently.

Abstract: A steering shaft assembly includes a male shaft having a plurality of splines formed thereon, each of the splines terminating at a spline end, wherein each of the spline ends form an angle of about 90 degrees relative to a longitudinal direction of the splines. The steering shaft assembly also includes a female shaft including a plurality of stakes located proximate an end of the female shaft, the stakes retaining the male shaft at an interface between the stakes and the spline ends.

Abstract: A trailer angle identification system includes an imaging device configured to capture an image. A controller is configured to receive steering angle data corresponding to a steering angle of a vehicle, receive vehicle speed data corresponding to a vehicle speed, and estimate an angle of the trailer relative to the vehicle by processing the image, the steering angle data, and the vehicle speed data in at least one neural network.

Abstract: A vehicle control device includes a behavior detection part that detects a behavior of a vehicle in front traveling in front of an own vehicle in a same direction as the own vehicle, and a driving control part that performs at least a steering control of the own vehicle without depending on an operation of a driver of the own vehicle. The behavior detection part detects a peak of a lateral speed of the vehicle in front. When the own vehicle is traveling in a straight section, the driving control part executes, at an occurrence point of a lateral position change of the vehicle in front that caused the detected peak, a first steering control that outputs a steering force toward an opposite side of the lateral position change of the vehicle in front or amplifies a steering force output based on a predetermined reference.

Abstract: An after-market subframe bushing support assembly that includes a RS back top bushing member formed as a disc shape with a RS back top bushing member outer diameter and a RS back top bushing member first height, and the RS back top bushing member having a rectangular center opening with rounded corners defined by a pair of RS back top bushing member long sides and a pair of RS back top bushing member short sides, and a RS back top bushing member second height in a second area between the RS back top bushing member short sides and the RS back top bushing member outer diameter. The subframe bushing support assembly reduces noise-vibration-harness compared with other solutions and can easily be installed by car enthusiasts.

Abstract: A vehicle rear portion structure includes: a rear side frame extending in a front-rear direction of a vehicle; a bumper beam disposed on a rear side of the rear side frame; and a rear panel provided between the rear side frame and the bumper beam. The rear panel includes a peripheral edge frame structure which is provided at an upper part of the bumper beam, and which has a closed cross-sectional structure. An upper projection of the bumper beam is in contact with a panel of the peripheral edge frame structure.