Abstract: Provided is a rechargeable lithium battery including an electrolyte solution including a non-aqueous organic solvent, a lithium salt, and an additive; a positive electrode including a positive electrode active material; and a negative electrode including a negative electrode active material, wherein the additive includes one or more of a compound represented by Chemical Formula 1A and a compound represented by Chemical Formula 1B, the positive electrode active material includes a lithium nickel manganese-based oxide represented by Chemical Formula 2, and a charging upper limit voltage is about 4.4 V to about 4.7 V. Chemical Formula 1A and Chemical Formula 1B are as defined in the specification.

Abstract: A method performed in an autonomous vehicle for an interaction with a worker is provided. The method includes storing video frames output by capturing an outside of the autonomous vehicle, identifying a command of the worker based on the video frames, controlling a message indicating the command of the worker to be displayed on a display, performing at least one control operation for performing the command of the worker, and controlling a message indicating the at least one control operation to be displayed on the display.

Abstract: A light emitting display device includes: a light emitting element; a second transistor connected to a scan line; a first transistor which applies a current to the light emitting element; a capacitor connected to a gate electrode of the first transistor; and a third transistor connected to an output electrode of the first transistor and the gate electrode of the first transistor. Channels of the second transistor, the first transistor, and the third transistor are disposed in a polycrystalline semiconductor layer, and a width of a channel of the third transistor is in a range of about 1 ?m to about 2 ?m, and a length of the channel of the third transistor is in a range of about 1 ?m to about 2.5 ?m.

Abstract: Disclosed is a system performing a method for detecting intersection traffic light information including a traffic light detection module including an image sensor for generating first signal data based on traffic light image data in which a traffic light is included, a communication module that receives second signal data for communication with a surrounding object and an external device, an object information collection module that collects dynamic data of the surrounding object, and a signal information inference module that infers third signal data based on the dynamic data. The dynamic data of the surrounding object includes at least one information of whether the surrounding object moves, a moving direction of the surrounding object, and whether the surrounding object accelerates or decelerates. Each of the signal data includes pieces of information about a type of the traffic light and a signal direction of the traffic light.

Abstract: Disclosed herein are an apparatus and method for adaptive autonomous driving control. The apparatus includes memory in which at least one program is recorded and a processor for executing the program. The program may perform control of a target vehicle by converting a theoretical control value based on a vehicle control algorithm into a hardware-dependent control value, which is dependent on the platform or hardware of the target vehicle, and may modify at least one parameter or a conversion equation for conversion of the hardware-dependent control value such that an error is minimized based on the difference between a response value according to the control of the target vehicle and a control value.

Abstract: Disclosed herein are an apparatus and a method for autonomous vehicle negotiation based on Vehicle-to-Vehicle (V2V) communication, the method including requesting, by vehicles that enter a driving negotiation section, a driving negotiation token, acquiring, by a vehicle that enters the driving negotiation section first, among the entering vehicles, the driving negotiation token, performing driving negotiation based on whether the driving negotiation token is acquired, and returning, by a vehicle having acquired the driving negotiation token, the driving negotiation token when the vehicle arrives at a destination.

Abstract: Disclosed herein are an object recognition apparatus of an automated driving system using error removal based on object classification and a method using the same. The object recognition method is configured to train a multi-object classification model based on deep learning using training data including a data set corresponding to a noise class, into which a false-positive object is classified, among classes classified by the types of objects, to acquire a point cloud and image data respectively using a LiDAR sensor and a camera provided in an autonomous vehicle, to extract a crop image, corresponding to at least one object recognized based on the point cloud, from the image data and input the same to the multi-object classification model, and to remove a false-positive object classified into the noise class, among the at least one object, by the multi-object classification model.

Abstract: Disclosed herein are an object recognition apparatus of an automated driving system using error removal based on object classification and a method using the same. The object recognition method is configured to train a multi-object classification model based on deep learning using training data including a data set corresponding to a noise class, into which a false-positive object is classified, among classes classified by the types of objects, to acquire a point cloud and image data respectively using a LiDAR sensor and a camera provided in an autonomous vehicle, to extract a crop image, corresponding to at least one object recognized based on the point cloud, from the image data and input the same to the multi-object classification model, and to remove a false-positive object classified into the noise class, among the at least one object, by the multi-object classification model.

Abstract: Provided is a radar device. The radar device includes a raising frequency converter configured to raise frequencies of split channel signals from a baseband to a different passband on the basis of a channel frequency, a transmission antenna configured to transmit the split channel signals received from the raising frequency converter to a target object, a reception antenna configured to receive split channel reflection signals received from the target object, a lowering frequency converter configured to lower the frequencies of the split channel reflection signals from a different passband to a baseband on the basis of the channel frequency, a transmission/reception driving unit configured to data-frame the split channel reflection signals received from the lowering frequency converter, and a device control unit configured to generate an integrated band response signal by using the data-framed split channel reflection signals.

Abstract: Provided is an apparatus and a method for hand-over that allow a seamless wireless network service based on learning using empirical data, the apparatus including a memory in which a learning-based handover program is stored and a processor configured to execute the program, in which the processor receives communication related state information to select an access node according to a policy and evaluates a level of satisfaction on the selected access node.

Abstract: Provided is a radar device. The radar device includes a raising frequency converter configured to raise frequencies of split channel signals from a baseband to a different passband on the basis of a channel frequency, a transmission antenna configured to transmit the split channel signals received from the raising frequency converter to a target object, a reception antenna configured to receive split channel reflection signals received from the target object, a lowering frequency converter configured to lower the frequencies of the split channel reflection signals from a different passband to a baseband on the basis of the channel frequency, a transmission/reception driving unit configured to data-frame the split channel reflection signals received from the lowering frequency converter, and a device control unit configured to generate an integrated band response signal by using the data-framed split channel reflection signals.

Abstract: Provided is a radar device. The radar device includes a raising frequency converter configured to raise frequencies of split channel signals from a baseband to a different passband on the basis of a channel frequency, a transmission antenna configured to transmit the split channel signals received from the raising frequency converter to a target object, a reception antenna configured to receive split channel reflection signals received from the target object, a lowering frequency converter configured to lower the frequencies of the split channel reflection signals from a different passband to a baseband on the basis of the channel frequency, a transmission/reception driving unit configured to data-frame the split channel reflection signals received from the lowering frequency converter, and a device control unit configured to generate an integrated band response signal by using the data-framed split channel reflection signals.

Abstract: A channel control method and apparatus for improving the transmission capacity of packet data and communications reliability in V2X vehicle packet communications. In V2X wireless communications, the number and bandwidths of transmission channels are predetermined. The control method monitors signal levels received between transceivers and the frequency of channel usage, and based on the result. of the monitoring, varies at least one of the bandwidth of frequency channels and the number of transmission channels. The control method is adaptive to wireless channels. The bandwidth of a transmission channel is variably assigned to, depending on whether the channel status for signal reception is good or bad. The number of transmission channels is variably assigned to, depending on whether the usage frequency of a reception channel is low or high.

Abstract: Provided are a system and method for collaboratively selecting resources in which the reliability of transmission data is ensured and the efficiency of a transmission channel is maximized. The system for collaboratively selecting resources includes a packet generator, a selector configured to select resources in consideration of a determinant including at least one of information on a packet and transmission environment information of the packet, and a packet transmitter configured to transmit the packet through the selected resources.

Abstract: Provided is a packet transmission method of a communication device. The packet transmission method includes randomly determining a first packet transmission time of a first packet which is to be transmitted in an nth beacon interval, generating the first packet, and transmitting the first packet at the first packet transmission time.

Abstract: Provided is a radar device. The radar device includes a raising frequency converter configured to raise frequencies of split channel signals from a baseband to a different passband on the basis of a channel frequency, a transmission antenna configured to transmit the split channel signals received from the raising frequency converter to a target object, a reception antenna configured to receive split channel reflection signals received from the target object, a lowering frequency converter configured to lower the frequencies of the split channel reflection signals from a different passband to a baseband on the basis of the channel frequency, a transmission/reception driving unit configured to data-frame the split channel reflection signals received from the lowering frequency converter, and a device control unit configured to generate an integrated band response signal by using the data-framed split channel reflection signals.