Various embodiments include a driver assistance system for determining the position of a stopping point of a vehicle at an infrastructure device comprising: a control unit; a communication device for receiving data from a server or from the infrastructure device; and a sensor arrangement for capturing vehicle data or environmental data. The control unit determines the location of the stopping point at the infrastructure device based at least in part on the data and the vehicle data or environmental data.

Disclosed are a power assisted towing mode control method and system for ecofriendly vehicles. The power assisted towing mode control method is executed to control a power assisted towing mode between a first vehicle as a towing vehicle and a second vehicle as a towed vehicle, and includes determining, by the first vehicle, whether or not an accelerator pedal amount exceeds a threshold value, calculating, by the first vehicle, driver request torque based on the accelerator pedal amount, calculating, by the first vehicle, motor allowable torque based on the driver request torque, receiving, by the second vehicle, the motor allowable torque and calculating motor dischargeable torque based on the motor allowable torque, and performing, by the second vehicle, motor torque output based on the motor dischargeable torque.

A display device includes an electronic control unit configured to: obtain a traveling plan from an automatic driving system of a vehicle, the traveling plan including a course of the vehicle under automatic drive control of the automatic driving system; obtain, from the automatic driving system, a system confidence level of the automatic drive control calculated based on at least an external environment around the vehicle; and display, on a display, a pointer as an image indicating the course during the automatic drive control in a display mode set based on the system confidence level.

A vehicle control device in an embodiment includes a recognition unit that recognizes a surrounding situation of a vehicle and a driving control unit that controls one or both of steering and acceleration or deceleration of the vehicle on the basis of the surrounding situation recognized by the recognition unit, and in a case where the vehicle merges into a second lane from a first lane in which the vehicle travels, and a section of the second lane before merging recognized by the recognition unit is downhill, the driving control unit makes a speed or acceleration of the vehicle higher than in a case where the section before merging is not downhill.

The present disclosure relates to an eco-friendly vehicle in which valet mode can be controlled with detailed control levels, and a method for controlling the same mode. A method for controlling valet mode of a vehicle according to an embodiment of the present disclosure comprises determining whether an entry condition for the valet mode to be satisfied, determining, if the condition being satisfied, one level among a plurality of levels for the valet mode based on at least one of a vehicle state and a driving environment and performing a vehicle control according to the determined level, wherein the plurality of levels are different from one another in whether or not a restriction to be made to at least part of a powertrain and a function or a degree of the restriction.

In an embodiment, a method includes: receiving ambient sound; determining if the ambient sound includes a siren; in accordance with determining that the ambient sound includes a siren, determining a first location associated with the siren; receiving a camera image; determining if the camera image includes a flashing light; in accordance with determining that the camera image includes a flashing light, determining a second location associated with the flashing light; 3D data; determining if the 3D data includes an object; in accordance with determining that the 3D data includes an object, determining a third location associated with the object; determining a presence of an emergency vehicle based on the siren, detected flashing light and detected object; determining an estimated location of the emergency vehicle based on the first, second and third locations; and initiating an action related to the vehicle based on the determined presence and location.

Embodiments of the invention are intended to evaluate the performance of a planning module of the ADV in terms of decision consistency in addition to other metrics, such as comfort, latency, controllability, and safety. In one embodiment, an exemplary method includes receiving, at an autonomous driving simulation platform, a record file recorded by the ADV that was automatically driving on a road segment; simulating operations of a dynamic model of the ADV in the autonomous driving simulation platform during one or more driving scenarios on the road segment based on the record file. The method further includes performing a comparison between each planned trajectory generated by a planning module of the dynamic model after an initial period of time with each trajectory stored in a buffer; and modifying a performance score generated by a planning performance profiler in the autonomous driving simulation platform based on a result of the comparison.

A sleepiness prediction system includes a lifelog obtainer, a route information obtainer, and a sleepiness predictor. The lifelog obtainer obtains a lifelog including at least a get-up time of an occupant of a vehicle and a boarding time at which the occupant boards the vehicle. The route information obtainer obtains route information regarding a route to a destination of the vehicle. The sleepiness predictor predicts a sleepiness level of the occupant while the occupant is in the vehicle, based on the lifelog and the route information.

A system for navigating a host vehicle may include memory and at least one processor configured to receive a plurality of images acquired by a camera onboard the host vehicle; generate, based on analysis of the plurality of images, a road geometry model for a segment of road forward of the host vehicle; determine, based on analysis of at least one of the plurality of images, one or more indicators of an orientation of the host vehicle; and generate, based on the one or more indicators of orientation of the host vehicle and the road geometry model for the segment of road forward of the host vehicle, one or more output signals configured to cause a change in a pointing direction of a movable headlight onboard the host vehicle.

Techniques for requesting remote assistance from a vehicle are discussed. The techniques include receiving, from a remote computing device, coordinates of a footprint in which the vehicle is capable of stopping. The techniques further include receiving, from the remote computing device, a target orientation associated with the footprint. The techniques may determine a path to the footprint based to achieve target orientation associated with the footprint.