Embodiments of the present disclosure provide a bend driving control method for an autonomous vehicle, a device and a storage medium, and relate to a field of perception and autonomous driving technologies. The method includes: obtaining an occupancy width of an autonomous vehicle on a target bend when the autonomous vehicle drives on the target bend; detecting location information of an obstacle on the target bend; and controlling a driving route of the autonomous vehicle on the target bend based on the occupancy width and the location information of the obstacle.

Aspects of the disclosure relate to controlling a vehicle having an autonomous driving mode or an autonomous vehicle. For instance, a polygon representative of the shape and location of a first object may be received. A polyline contour representation of a portion of a polygon representative of the shape and location of a second object may be received. The polyline contour representation may be in half-plane coordinates and including a plurality of vertices and line segments. Coordinates of the polygon representative of the first object may be converted to the half-plane coordinate system. A collision location between the polyline contour representation and the polygon representative of the first object may be determined using the converted coordinates. The autonomous vehicle may be controlled in the autonomous driving mode to avoid a collision based on the collision location.

A system for estimating tire parameters for an off-road vehicle in real time, the system including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to measure a position of the vehicle at a first time, determine, based on the position, motion characteristics of the vehicle, predict, based on the motion characteristics, a position of the vehicle at a second time, measure a position of the vehicle at the second time, and generate a tire parameter associated with the vehicle based on the predicted position and the measured position of the vehicle at the second time.

An acquisition unit (110) acquires attribute information of a moving object, entry-exit information, and target position information. The entry-exit information is for specifying an entry position to an intersection and an exit position from the intersection. The attribute information of the moving object is information regarding the moving object. The target position information is information indicating a target position located in the intersection. The target position indicates a position at least near which a route of the moving object is to pass. A determination rule setting unit (120) sets a rule used when the route is determined, by using the attribute information of the moving object. A route setting unit (130) sets the above-described route using the rule set by the determination rule setting unit (120), and the entry-exit information and the target position information acquired by the acquisition unit (110).

A management device includes a recognizer configured to recognize a use situation of a specific area for stopping of a vehicle, and a guide configured to guide a second vehicle having a smaller vehicle body than a vehicle body of a first vehicle to the specific area when there is no first stop space and there is a second stop space in the specific area, on the basis of the use situation recognized by the recognizer, the first stop space is a space in which the first vehicle or the second vehicle is able to stop, and the second stop space is a space in which the first vehicle is not able to stop and the second vehicle is able to stop.

System, methods, and other embodiments described herein relate to improving stability of a trailer being towed by a vehicle. In one embodiment, a method includes analyzing sensor data from a set of sensors associated with the vehicle to generate a pressure signature that characterizes lateral forces on the trailer resulting from a pressure differential between opposite sides of the trailer. The method includes, in response to determining the pressure signature satisfies criteria indicating an onset of instability in the trailer, generating a control signal based, at least in part, on the pressure signature that activates one or more vehicle systems to mitigate the instability in the trailer.

A method for partially or fully autonomously guiding a motor vehicle includes setting a target steering angle for guiding along a target trajectory. It is checked whether a zero point shift exists between a current position of the motor vehicle with respect to the target trajectory. The set target steering angle is adjusted on the basis of a correction constant in the event that a determined zero point shift exceeds a predefined threshold.

Systems and methods are provided for uncertainty based contingency model predictive control of a vehicle in uncertain road conditions. Applications may be found for collision imminent steering, on-road autonomous vehicles and real time decision-making influenced by an unknown environment. An uncertainty road coefficient of friction may be estimated using an Unscented Kalman filter, and the controller may be updated based upon the estimated uncertainties to provide for collision avoidance in unknown conditions.

A method initiates a reaction of a first vehicle to a person in the environment of a second vehicle. The person is on a road on which the first vehicle is travelling and the second vehicle is detected. Measurement data determined by at least one sensor unit are received by a control unit. The control unit carries out a classification and registers the evaluated data as a person and as a second vehicle. Motion vectors of the person are determined and the expected movement of the person is calculated. A position and width of the vehicle doors of the second vehicle are determined or estimated on the basis of the measurement data. A probability of the person opening a vehicle door is calculated. A reaction of the first vehicle is initiated by the control unit depending on the calculated probability.

The method provides for one or more processors to receive traffic information and passing vehicle information associated with a portion of a roadway in which a passing vehicle approaches and travels through the portion of the roadway. The one or more processors predict travel positions of passing vehicles, based on the traffic information and passing vehicle information. The one or more processors determine an impassible space within an existing lane of the roadway and create virtual lane definitions based on the predicting and the traffic information, in which the lane definitions include an optimum number of lanes, a width of respective lanes, and a lane type, and the one or more processors transmit the lane definitions to the passing vehicles based on a correspondence between a type and width of a respective vehicle and the type and width of respective lane definitions.