Systems and methods for detecting and tracking objects are provided. In one example, a computer-implemented method includes receiving sensor data from one or more sensors. The method includes inputting the sensor data to one or more machine-learned models including one or more first neural networks configured to detect one or more objects based at least in part on the sensor data and one or more second neural networks configured to track the one or more objects over a sequence of sensor data. The method includes generating, as an output of the one or more first neural networks, a 3D bounding box and detection score for a plurality of object detections. The method includes generating, as an output of the one or more second neural networks, a matching score associated with pairs of object detections. The method includes determining a trajectory for each object detection.

A method for distance control of a subject vehicle in relation to a front vehicle. The method includes setting, by an adaptive cruise control of the subject vehicle, an automatic distance control mode, wherein: a front object in front of the subject vehicle is detected by an environmental detection system of the subject vehicle, the front object is recognized as the front vehicle, and a distance to the front vehicle is regulated to an adaptive cruise control (ACC) target distance. The method further includes establishing that a safe following driving situation is present based on at least one criteria being met. The method additionally includes outputting, to a driver upon establishing that the safe following driving situation is present, a display signal, and setting, upon input of a confirmation signal by the driver, an automatic distance control platooning mode.

Disclosed are a short cut-in target identification apparatus and an identification method thereof. The short cut-in target identification apparatus includes an occupancy distance map (ODM) information calculator configured to calculate ODM information based on subject vehicle and surrounding object information, a track information calculator configured to calculate track information based on the subject vehicle and surrounding object information, and a short cut-in target selector configured to select a short cut-in target based on the ODM information and the track information.

Disclosed is a method and apparatus for managing a driving plan of an autonomous vehicle. The method may include obtaining observations of a neighboring vehicle using one or more sensors of the autonomous vehicle. The method may also include classifying one or more behavioral driving characteristics of the neighboring vehicle based on the observations. Furthermore, the method may include updating the driving plan based on a classification of the one or more behavioral driving characteristics of the neighboring vehicle, and controlling one or more operations of the autonomous vehicle based on the updated driving plan.

A target vehicle speed generation device includes a controller that includes a target travel route generation unit, a peripheral object information acquisition unit, and a target vehicle speed generation unit. The target travel route generation unit generates a target travel route of the vehicle. The peripheral object information acquisition unit acquires position information pertaining to an obstacle on a travel path of the vehicle, and position information pertaining to an obstacle that is located toward the side and is outside of the travel path of the vehicle. The target vehicle speed generation unit calculates a plurality of lateral deviations to the obstacle with respect to the target travel route, and generates a lower target vehicle speed for an obstacle having a lesser lateral deviation than for an obstacle having a greater lateral deviation.

A vehicle assembly includes, among other things, a bumper assembly, a skid plate, and a capacitive sensor system of the skid plate. A sensing method for a vehicle includes using a capacitive sensing system to detect a proximity of a vehicle to an object. The capacitive sensing system is incorporated into a skid plate that is vertically beneath a portion of a bumper assembly of the vehicle.

Systems and methods for implementing one or more autonomous features for autonomous and semi-autonomous control of one or more vehicles are provided. More specifically, image data may be obtained from an image acquisition device and processed utilizing one or more machine learning models to identify, track, and extract one or more features of the image utilized in decision making processes for providing steering angle and/or acceleration/deceleration input to one or more vehicle controllers. In some instances, techniques may be employed such that the autonomous and semi-autonomous control of a vehicle may change between vehicle follow and lane follow modes. In some instances, at least a portion of the machine learning model may be updated based on one or more conditions.

Systems and methods for implementing one or more autonomous features for autonomous and semi-autonomous control of one or more vehicles are provided. More specifically, image data may be obtained from an image acquisition device and processed utilizing one or more machine learning models to identify, track, and extract one or more features of the image utilized in decision making processes for providing steering angle and/or acceleration/deceleration input to one or more vehicle controllers. In some instances, techniques may be employed such that the autonomous and semi-autonomous control of a vehicle may change between vehicle follow and lane follow modes. In some instances, at least a portion of the machine learning model may be updated based on one or more conditions.

Disclosed is a method for transmitting a vehicle-to-everything (V2X) message by a V2X communication device of a vehicle. The method for transmitting a V2X message by a V2X communication device of a vehicle comprises the steps of detecting a lane change of a target vehicle followed by the subject vehicle; setting a CACC mode on the basis of a preset operation determination for a lane change when the lane change of the target vehicle is detected; and transmitting a V2X message including information on the set CACC mode, wherein the CACC mode includes a single-lane CACC mode for providing a single-lane CACC service and a multi-lane CACC mode for providing a multi-lane CACC service.

A system for providing adaptive cruise control in a motorcycle. The system includes an electronic controller configured to determine the presence of a vehicle on one side of a direct path of travel of the motorcycle based on data received from a transceiver, the vehicle within a field of view of the transceiver. The electronic controller locks the motorcycle with the vehicle and dynamically controls the speed of the motorcycle based on an output of a kinematic controller, wherein the kinematic controller configured to receive an input including at least one of an item selected from the group consisting of distance of the motorcycle to the vehicle, velocity of the vehicle, velocity of the motorcycle, a cruise set speed associated with the motorcycle, a desired separation distance between the motorcycle and the vehicle, and a desired separation time between the motorcycle and the vehicle.