Papers with Code 아카이브

Autonomous Vehicles

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 15
평가표: 1
보존된 평가 기록: 2

Autonomous vehicles is the task of making a vehicle that can guide itself 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: 0.6">( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/lzqw/c-hac

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Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving

https://github.com/lzzzzzm/ii-world

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$I^{2}$-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting

https://github.com/m-hasan-n/pooling

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Maneuver-Aware Pooling for Vehicle Trajectory Prediction

https://github.com/machineperceptionlab/qq-slam

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Query Quantized Neural SLAM

https://github.com/maciejzieba/HyperFlow

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HyperFlow: Representing 3D Objects as Surfaces

https://github.com/macrohuang1993/ESNet

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ES-Net: An Efficient Stereo Matching Network

https://github.com/maftej/rfdvc

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Radiance Field Delta Video Compression in Edge-Enabled Vehicular Metaverse

https://github.com/magnetar-iiith/pril

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How Private Is Your RL Policy? An Inverse RL Based Analysis Framework

https://github.com/magnux/MotionGAN

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Human Motion Prediction via Spatio-Temporal Inpainting

https://github.com/mahaitongdae/safe_exp_env

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Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function

https://github.com/mahautm/emecom_pop_data

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Referential communication in heterogeneous communities of pre-trained visual deep networks

https://github.com/mahdiyarmm/continual-pedestrian-detection

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Continual Learning for Out-of-Distribution Pedestrian Detection

https://github.com/mahedikamal/anna-a-deep-learning-based-dataset-in-heterogenous-traffic-for-autonomous-vehicles

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ANNA: A Deep Learning Based Dataset in Heterogeneous Traffic for Autonomous Vehicles

https://github.com/maikwischow/camera-condition-monitoring

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Monitoring and Adapting the Physical State of a Camera for Autonomous Vehicles

https://github.com/malga-vision/co-semdepth

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Co-SemDepth: Fast Joint Semantic Segmentation and Depth Estimation on Aerial Images

https://github.com/mameng1/GraphLineMatching

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Robust Line Segments Matching via Graph Convolution Networks

https://github.com/mandt-lab/variational-beam-search

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Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning

https://github.com/manglanisagar/vision-search-navigation

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Real-time Vision-based Navigation for a Robot in an Indoor Environment

https://github.com/manishnagaraj/DOTIE

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DOTIE -- Detecting Objects through Temporal Isolation of Events using a Spiking Architecture

https://github.com/manueldiaz96/beval

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BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous Driving

https://github.com/manymuch/ground_normal_filter

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Towards Accurate Ground Plane Normal Estimation from Ego-Motion

https://github.com/map-learning/tl2la

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Semantic Map Learning of Traffic Light to Lane Assignment based on Motion Data

https://github.com/marcelsheeny/radiate_sdk

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RADIATE: A Radar Dataset for Automotive Perception in Bad Weather

https://github.com/marcointrovigne/WeatherDetection

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Real-Time Environment Condition Classification for Autonomous Vehicles

https://github.com/markendo/gaitforemer

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GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

https://github.com/marko-vasic/moet

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MoËT: Mixture of Expert Trees and its Application to Verifiable Reinforcement Learning

https://github.com/markusschoen/mgnet

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MGNet: Monocular Geometric Scene Understanding for Autonomous Driving

https://github.com/marmotatzju/drl-based-trajectory-tracking

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DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous Driving

https://github.com/marsaki/etpnav

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ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments

https://github.com/martinferianc/quantised-bayesian-nets

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On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks

https://github.com/martinruenz/co-fusion

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Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects

https://github.com/marvinyu1995/hyctas

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Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture Search

https://github.com/masterhow/csflow

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CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous Driving

https://github.com/masterhow/eventpointpose

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Exploring Event-based Human Pose Estimation with 3D Event Representations

https://github.com/masterhow/flowlens

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Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent Transformer

https://github.com/masterhow/occfiner

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Offboard Occupancy Refinement with Hybrid Propagation for Autonomous Driving

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