KOASAS
Browse "Division of Future Vehicle(미래자동차 학제전공)" by Subject
Showing results 16 to 75 of 448
- Active domain adapta-tion 1
- Active rear-wheel steering 1
- Advanced Encryption Standard (AES) 1
- AI▼aAutonomous Vehicle▼aRNN▼aWPT▼aalignment 1
- AI▼a자율 주행 차량▼a반복 신경 네트워크▼a위치 추정▼a무선 전력 전송 1
- annoyance 1
- Aramis 1
- Audio-visual learning▼aSound source localization▼aVisually grounded speech 1
- automated robotic system 1
- Autonomous Driving 1
- Autonomous Driving▼a4D Radar▼aCamera▼aDataset▼aCalibration▼aSLAM▼aVector Map 1
- Autonomous driving▼aDeep learning▼aRecurrent Neural Network (RNN)▼aLane detection▼aLane prediction 1
- Autonomous driving▼aDriver model▼aSimulation▼aLane change▼aTraffic flow▼aTrade-off 1
- Autonomous Driving▼aLocalization▼aNavigation▼aElectric vehicle▼aSensor Fusion 1
- Autonomous driving▼aobject detection▼aaffine transform▼aRADAR▼afeature fusion 1
- Autonomous Vehicle▼aEnd-to-End learning▼aICP Matching Algorithm▼aPlatform-Independent▼aHybrid control 1
- Bicycle model 1
- Bolometer FPA 1
- C3D CNN▼abi-directional LSTM▼aattention▼aspatio-temporal bi directional lstm attention 1
- C3D 합성곱 네트워크▼a양방향 장단기억▼a순환 신경망▼a시공간 양방향 장단기억 순환 신경망을 이용한 집중 메카니즘 1
- Capacitive coupling▼aelectronic safety and arming devices▼ainductive coupling▼anoise coupling path 1
- car roof structure 1
- Carbon fiber 1
- carsim 1
- CFRP 1
- CFRP▼acomposite material▼acompression test▼aclamping device▼aclamping force▼amaterial property▼afracture strength▼afracture strain▼afracture shape 1
- CFRP▼arate-dependency▼adynamic tensile test▼aRTM▼aDIC▼agrip tab material▼alow velocity impact test 1
- CFRP▼a변형률속도민감도▼a고속인장시험▼aRTM▼aDIC▼a그립 탭 재료▼a저속 충돌 1
- Collision avoidance 1
- Composite 1
- Computer vision▼adeep learning▼aobject detection 1
- Convolutional Neural Networks 1
- Cost function▼aOptimization▼aTire work load▼aOver-actuated vehicle▼a4 wheel independent steer independent drive 1
- Counter with Cipher Block Chaining Message Authentication Code (CCM) 1
- current harmonics▼adigital TV▼aelectromagnetic interference (EMI)▼afilters▼amagnetic field▼awireless power transfer 1
- Dead time▼aInput current ripple▼aUnbalanced output voltages▼aGate control method▼aRenewable Energy 1
- Deep Learning 1
- Deep learning 1
- Deep reinforcement learning 1
- Depth Estimation▼aDepth Prediction▼aDepth Completion▼aDeep Neural Network▼aConvolutional Neural Network▼aAutonomous Vehicle 1
- depth processing 1
- Depth-map Filter 1
- Dic method 1
- direct liquid-cooling 1
- disturbance observer 1
- Dock-less e-scooter sharing▼aData analysis▼aPrediction model▼aOperation optimization▼aRobust design optimization(RDO)▼aUrban areas▼aUncertainty 1
- Dog clutch▼amodel predictive control▼aelectric vehicle▼apreview gear-shift▼aneural network▼along short-term memory network 1
- Domain Adaptation 1
- Domain adaptation 1
- Driving Workload 1
- Dropout 1
- Efficiency 1
- Electric power steering(EPS)▼aEPS system modeling▼asystem parameter identification▼atire restoring force▼aroad disturbance estimation 1
- Electric Vehicle 2
- electric vehicle 1
- Electric Vehicle (Evs)▼aHybrid Electric Vehicles (HEVs)▼aMotor Drive System (MDS)▼aCommon Mode (CM)▼aRadio Frequency Interference (RFI)▼aInterior Permenent Magnet Synchronous Motor(IPMSM)▼aNoise Propagation Paths 1
- electric vehicles 1
- Electroencephalogram (EEG) 1
- electromagnetic compatibility 2
- Electromagnetic field 1