Abstract: An object detection method includes determining an error parameter associated with an amount of movement of a vehicle through a predetermined regression method based on positioning information of the vehicle and dynamics information of the vehicle with respect to a predetermined center of gravity of the vehicle, determining a velocity of a predetermined point of the vehicle, based on a fixed error parameter stored in a memory or a corrected fixed error parameter, through a comparison between the error parameter and the fixed error parameter, generating a local map in consideration of the amount of movement of the vehicle based on the determined velocity, and detecting an object around the vehicle based on the local map.

Abstract: A vehicle restart control apparatus includes a processor configured to generate an override torque according to the environment information of the host vehicle when the vehicle is restarted after stopping; and a storage configured to store data and algorithms driven by the processor.

Abstract: A vehicle restart control apparatus includes a processor configured to generate an override torque according to the environment information of the host vehicle when the vehicle is restarted after stopping; and a storage configured to store data and algorithms driven by the processor.

Abstract: Disclosed are an autonomous vehicle, a control system for remotely controlling the same, and a method thereof. Provided is an autonomous vehicle, including an autonomous driving control apparatus. The control apparatus is configured to include a processor. The processor is configured to generate a candidate path group to a destination, request a remote driving reservation to the control system when an autonomous driving section and a section requiring remote control are included in the candidate path group, receive a path selected from the candidate path group by a user depending on availability of a remote driving reservation of the control system and estimated fare, control the vehicle to follow the selected path, and control the vehicle depending on remote control of the control system when the vehicle reaches the section requiring remote control. The control apparatus is further configured to include a communication device configured to communicate with the control system.

Abstract: Disclosed is a vehicle path control apparatus including a memory provided to store danger driving vehicle data, a communication device provided to receive road information from an external server, and a processor configured to identify a danger driving vehicle driving on a road based on the road information and the danger driving vehicle data, select an unmanned vehicle driving within a preset distance from the danger driving vehicle based on the road information, generate a driving path of the unmanned vehicle for obstructing a course of the danger driving vehicle based on an expected path of the danger driving vehicle, and control the communication device to transmit information on the driving path to the unmanned vehicle.

Abstract: A device for controlling travel of a vehicle includes an input device configured to receive user setting information, a sensor configured to acquire user state information, travel information of the vehicle, and vehicle surroundings information, and a controller configured to calculate an ADAS operation reliability based on the travel information of the vehicle and the vehicle surroundings information, calculate at least one of a vehicle set speed and/or a warning time point based on the user setting information and an ADAS reliability determination value when careless driving of a user is determined based on the user state information, and determine whether to perform vehicle stop control.

Abstract: An embodiment method for controlling autonomous driving in a vehicle with an incorporated semi-autonomous driving system and warning alarm system includes monitoring a status of a driver during semi-autonomous driving, generating a state signal based on the monitoring, the state signal indicating a state that includes a warning state, a coasting state and a braking state, and performing a driver emergency assistance operation based on the state signal, wherein the vehicle transitions to the warning state, the coasting state, or the braking state based on the state signal to perform a corresponding driver emergency assistance operation.

Abstract: A platooning controller includes a processor configured to perform platooning control based on a driver state and to determine a platooning driver emergency assist (DEA) mode based on a careless driving state or a drowsy driving state of a driver, and a memory configured to store data and an algorithm to be executed by the processor to perform the platooning control.

Abstract: A device for controlling travel of a vehicle includes an input device configured to receive user setting information, a sensor configured to acquire user state information, travel information of the vehicle, and vehicle surroundings information, and a controller configured to calculate an ADAS operation reliability based on the travel information of the vehicle and the vehicle surroundings information, calculate at least one of a vehicle set speed and/or a warning time point based on the user setting information and an ADAS reliability determination value when careless driving of a user is determined based on the user state information, and determine whether to perform vehicle stop control.

Abstract: An apparatus for controlling platooning, a system including the same, and a method for the same are provided. The apparatus for controlling platooning includes a processor to control the platooning, and a memory to store platoon arrangement information of platooning vehicles during the platooning. The processor may automatically form a platoon based on the platoon arrangement information stored in the memory when controlling the platooning.