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/lilac-lee/fastkernelsf

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Fast Kernel Scene Flow

https://github.com/lilac-lee/fastnsf

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Fast Neural Scene Flow

https://github.com/lilac-lee/neural_scene_flow_prior

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Neural Scene Flow Prior

https://github.com/limengbinggz/cusum-rl

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Testing Stationarity and Change Point Detection in Reinforcement Learning

https://github.com/linbaiwpi/RoadNet-RT

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RoadNet-RT: High Throughput CNN Architecture and SoC Design for Real-Time Road Segmentation

https://github.com/linfunster/pp-til

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PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning

https://github.com/linh-gist/ms-glmb-nuScenes

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3D Multi-Object Tracking Employing MS-GLMB Filter for Autonomous Driving

https://github.com/linhanwang/DC-Gaussian

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DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos

https://github.com/link-zju/orl-auditor

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ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning

https://github.com/linkon87/exploring-diversity-based-active-learning-for-3d-object-detection-in-autonomous-driving

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Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving

https://github.com/linshan-bin/occnerf

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OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments

https://github.com/linxin0/low_light_rainy

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Dual Degradation Representation for Joint Deraining and Low-Light Enhancement in the Dark

https://github.com/linxuewu/sparse4d

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Sparse4D v3: Advancing End-to-End 3D Detection and Tracking

https://github.com/lisusdaniil/mm_masking

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Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights

https://github.com/liujia99/M3SOT

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M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking

https://github.com/liuliu-55/rofusion

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ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion

https://github.com/liuquan98/gcl

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Density-invariant Features for Distant Point Cloud Registration

https://github.com/liuruijin17/LSTR

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End-to-end Lane Shape Prediction with Transformers

https://github.com/liuruijin17/clgo

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Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints

https://github.com/liuwei16/CSP

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Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection

https://github.com/liuxueyi/reasonplan

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ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving

https://github.com/liuyangme/sota-3dhpe-hmr

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Deep learning for 3D human pose estimation and mesh recovery: A survey

https://github.com/liuyi1989/pwrf

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Part-Whole Relational Fusion Towards Multi-Modal Scene Understanding

https://github.com/liuyuqi123/complexurbanscenarios

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A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios

https://github.com/liuzhuang13/DenseNet

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Densely Connected Convolutional Networks

https://github.com/liuzuxin/dsrl

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Datasets and Benchmarks for Offline Safe Reinforcement Learning

https://github.com/liuzuxin/fsrl

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Datasets and Benchmarks for Offline Safe Reinforcement Learning

https://github.com/liuzuxin/osrl

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Datasets and Benchmarks for Offline Safe Reinforcement Learning

https://github.com/liw95/lightloc

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LightLoc: Learning Outdoor LiDAR Localization at Light Speed

https://github.com/liyingyanucas/wote

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End-to-End Driving with Online Trajectory Evaluation via BEV World Model

https://github.com/liyuhang166/deep_channel_prior

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Boosting Visual Recognition in Real-world Degradations via Unsupervised Feature Enhancement Module with Deep Channel Prior

https://github.com/lizhuoran0/2025-ieee-network-chirpdelaydopplermodulationisac

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Chirp Delay-Doppler Domain Modulation: A New Paradigm of Integrated Sensing and Communication for Autonomous Vehicles

https://github.com/ljpadam/CGPS

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Exploring Visual Context for Weakly Supervised Person Search

https://github.com/lkeab/gsnet

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GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision

https://github.com/llffff/infocons-pc

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InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory

https://github.com/lmd0311/awesome-world-model

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The Role of World Models in Shaping Autonomous Driving: A Comprehensive Survey

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