https://github.com/singhay/DeepPredictiveMotionTracking
공식 코드Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging
Papers with Code 아카이브
Autonomous Driving
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
- 23
Autonomous driving is the task of driving a vehicle without human conduction.
Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.
<span style="color:grey; opacity: 0.5">(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sinop97/drive_sim_road_generation
공식 코드https://github.com/sisl/AutomotivePOMDPs.jl
공식 코드Decomposition Methods with Deep Corrections for Reinforcement Learning
https://github.com/sisl/PedestrianAvoidancePOMDP.jl
공식 코드Pedestrian Collision Avoidance System for Scenarios with Occlusions
https://github.com/sisl/betazero.jl
공식 코드BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations
https://github.com/sisl/interpretableselfawareprediction
공식 코드Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
https://github.com/sisl/lopr
공식 코드https://github.com/sixcorepeach/mcam
공식 코드MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video Understanding
https://github.com/sj-li/unpnet
공식 코드https://github.com/skygoo2000/adm
공식 코드https://github.com/skyhehe123/msf
공식 코드MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences
https://github.com/sled-group/dorothie
공식 코드https://github.com/sled-group/driVLMe
공식 코드DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experiences
https://github.com/slothfulxtx/TransLoc3D
공식 코드TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields
https://github.com/snorkel-team/snorkel-tutorials
공식 코드Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
https://github.com/snu-drl/drcpo
공식 코드https://github.com/sonebu/vehicular-vlp-simulations
공식 코드Vehicular Visible Light Positioning for Collision Avoidance and Platooning: A Survey
https://github.com/songw-zju/lidar2map
공식 코드LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation
https://github.com/songw-zju/scribble2scene
공식 코드Label-efficient Semantic Scene Completion with Scribble Annotations
https://github.com/sotif-avlab/pesotif
공식 코드PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios
https://github.com/sotif-avlab/sind
공식 코드https://github.com/soundai2016/survey_acoustic_world_models
공식 코드A Survey on World Models Grounded in Acoustic Physical Information
https://github.com/sparkssss/DistroFair
공식 코드https://github.com/sranc3/m-bev
공식 코드https://github.com/sreeramsa/drivesim
공식 코드https://github.com/sshaoshuai/mtr
공식 코드MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying
https://github.com/sshkhr/BigDataCup18_Submission
공식 코드Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN
https://github.com/sta8is/dino-foresight
공식 코드$\texttt{DINO-Foresight}$: Looking into the Future with DINO
https://github.com/stefanos50/CARLA2Real
공식 코드CARLA2Real: a tool for reducing the sim2real gap in CARLA simulator
https://github.com/stepankonev/MotionCNN-Waymo-Open-Motion-Dataset
공식 코드MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving
https://github.com/stepankonev/waymo-motion-prediction-chalenge-2022-multipath-plus-plus
공식 코드https://github.com/stephaniedroop/av_explanations
공식 코드https://github.com/stiphyjay/pillartrack
공식 코드https://github.com/stutipathak5/gps-for-point-clouds
공식 코드https://github.com/sty61010/crossdtr
공식 코드CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection
https://github.com/suhaisheng/difsd
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.