A transportation vehicle with at least one first sensor for capturing environment data, at least one second sensor for capturing transportation vehicle data, a communication module for establishing a data connection with another transportation vehicle, a driving system for automated driving of the transportation vehicle, at least one output element for a visible/audible warning signal, and a control unit. The control unit determines a predicted trajectory of the transportation vehicle, determines a predicted path of the transportation vehicle and receives a predicted trajectory and vehicle geometry data of the other transportation vehicle via the data connection, determines a predicted path of the other transportation vehicle, determines a possible collision of the transportation vehicle with the other transportation vehicle, and in response to a possible collision, outputs a warning signal by the at least one output element and/or carries out an automated driving maneuver by the driving system.

Systems and methods for localization of a trailer of an autonomous tractor-trailer are described herein. Some implementations can determine a sector area in an environment of the autonomous tractor-trailer that is predicted to include the trailer, determine a subset of an LIDAR data that is generated by LIDAR sensor(s) of an autonomous tractor of the autonomous tractor-trailer and that is predicted to include the trailer based on the sector area, generate a trailer pose instance of a trailer pose of the trailer based on the subset of the LIDAR data, and cause the trailer pose instance to be utilized in controlling the autonomous tractor-trailer. Additional or alternative implementations can utilize particular LIDAR sensor(s) in generating the trailer pose instance, such as phase coherent LIDAR sensor(s) or polarized LIDAR sensor(s).

A device for determining the length of a vehicle combination comprises an input interface for receiving current driving dynamics data, in particular information regarding the current travel path of the towing vehicle, and a comparison unit for comparing the received current driving dynamics data with stored patterns of driving dynamics data that are typical for driving with a trailer of known dimensions, and an evaluation unit, which derives the length of the vehicle combination from the differences between the current driving dynamics data and the stored typical patterns of driving dynamics data. The device can use the sensors in the towing vehicle for obtaining the current driving dynamics data. Without additional hardware, a length of the vehicle combination, e.g. the length of a trailer connected to a towing vehicle, can be determined in this manner.

A system may comprise one or more processors, and a memory storing instructions that, when executed by the one or more processors, causing the system to perform receiving, from a first sensor coupled to a front part of a vehicle, a first set of sensor data that include data of a first edge of a body part, or from a second sensor coupled to the front part of the vehicle, a second set of sensor data that include data of a second edge of the body part. The system may perform calculating, based on the first or second set of the sensor data, location of the first edge or the second edge of the body part relative to the front part, and determining whether the relative location of the first edge or the second edge is within an expected location range. The system may perform sending a notification that driving adjustment of the vehicle is required if the relative location is outside the expected location range.

An advanced driver assistance system for a heavy-duty vehicle. The ADAS includes a road geometry determining device arranged to determine a geometry of a road section in a forward direction ahead of the vehicle, and a vehicle motion management module configured to predict a swept area by the vehicle when driving in the forward direction, based on a geometric model of the vehicle and on a current vehicle control command, wherein the swept area by the vehicle comprises an area traversed by an overhang of the vehicle. The ADAS further includes a display device configured to illustrate the geometry of the road section and the predicted swept area by the vehicle in dependence of the current vehicle control command.

A vehicle control apparatus includes a camera that obtains a surrounding image of a vehicle, and a controller that estimates a position of a first corner point and a position of a second corner point of a trailer connected to the vehicle based on the surrounding image, estimates a position of a third corner point of the trailer using a position of the camera, the position of the first corner point, and the position of the second corner point, and estimates a length of the trailer based on the position of the first corner point and the position of the third corner point. The vehicle control apparatus improves the stability of autonomous driving by reducing the risk of lane encroachments and vehicle collisions, by allowing an autonomous vehicle towing a trailer to actively estimate the length of the trailer.

A method for controlling autonomous driving for an autonomous driving vehicle, includes collecting sensing information on autonomous driving in an autonomous driving mode, calculating an initial longitudinal control value based on the sensing information on the autonomous driving, correcting the initial longitudinal control value based on the sensing information, and performing a longitudinal driving control by transmitting the corrected longitudinal control value to a lower controller.

An autonomous vehicle is provided that includes one or more sensors coupled to the autonomous vehicle, and a computing device configured to: (i) receive, from the one or more sensors, operational data related to an operation of the autonomous vehicle, (ii) receive geographical data related to an anticipated route of the autonomous vehicle, (iii) generate, for the anticipated route and based on the operational data and the geographical data, an operational response model representing respective operational constraints for one or more operational parameters of the autonomous vehicle, wherein values for the one or more operational parameters are represented along coordinate axes of a geometrical shape, and wherein the one or more operational parameters are mutually coupled to each other, and (iv) responsively execute, based on the operational response model, an autonomous control strategy comprising one or more adjustments to the operation of the vehicle within the respective operational constraints.

A vehicle sensing system is for being disposed on a vehicle. The vehicle sensing system includes a calculating unit, which includes a turning calculating module and a vehicle dimension dataset. The vehicle dimension dataset includes at least one of a wheelbase, a vehicle width, a front overhang and a rear overhang of the vehicle. The calculating unit is configured to receive a turning dataset of the vehicle. Based on the turning calculating module, the calculating unit is configured to determine an inner front wheel and an inner rear wheel. The calculating unit is configured to further determine a turning alarm zone in accordance with the vehicle dimension dataset and the turning dataset. The turning alarm zone is dependent on at least one of time and the turning dataset.

A monitoring device for a vehicle that, in a case in which it is determined, based on information captured by a towing information capture device, that the vehicle is not towing another vehicle, provides support for monitoring an area to a rear of the vehicle using images captured by a first capture device, and in a case in which it is determined, based on the information captured by the towing information capture device, that the vehicle is towing another vehicle, provides support for monitoring the area to the rear of the vehicle using images captured by a second capture device.