Papers with Code 아카이브

Autonomous Driving

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 6
평가표: 4
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/raghavendersahdev/Free-Space

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Free Space Estimation using Occupancy Grids and Dynamic Object Detection

https://github.com/rainmaker22/SMART

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SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction

https://github.com/ram95d/ovose

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OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras

https://github.com/raptor-msstate/xdecode

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X-DECODE: EXtreme Deblurring with Curriculum Optimization and Domain Equalization

https://github.com/rasd3/toda

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Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection

https://github.com/raynbowy23/RNTransformer

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Enhancing Pedestrian Trajectory Prediction with Crowd Trip Information

https://github.com/rdlin118/hilots

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HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous Driving

https://github.com/refkxh/DUSA

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DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative Perception

https://github.com/rerv/vdt

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VDT: General-purpose Video Diffusion Transformers via Mask Modeling

https://github.com/retis-ai/carla-gear

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CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Vision Models

https://github.com/retis-ai/semsegadvpatch

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On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving

https://github.com/revisitq/Pseudo-Stereo-3D

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Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving

https://github.com/richardmarcus/synth-it-like-kitti

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Synth It Like KITTI: Synthetic Data Generation for Object Detection in Driving Scenarios

https://github.com/ridgerchu/sad

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Autonomous Driving with Spiking Neural Networks

https://github.com/rishidarkdevil/daam-i2i

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Mapping the Mind of an Instruction-based Image Editing using SMILE

https://github.com/ristea/arim-v2

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Estimating the Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional Networks

https://github.com/rll-research/sim2seg

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Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data

https://github.com/robertwyq/panoocc

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PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation

https://github.com/robot-learning-freiburg/LCDNet

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LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM

https://github.com/robot-learning-freiburg/PASTEL

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A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation

https://github.com/robot-motion/mpb

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Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots

https://github.com/robotvisionmu/densemonoslam

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A Hybrid Sparse-Dense Monocular SLAM System for Autonomous Driving

https://github.com/rochelleni/dat

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Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation

https://github.com/roeiherz/STAG-Nets

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Spatio-Temporal Action Graph Networks

https://github.com/rogerferrod/crodino-kd

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Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation

https://github.com/roggirg/AutoBots

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Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction

https://github.com/rohban-lab/cobra

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Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection

https://github.com/rohollahhs/bad

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BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation

https://github.com/rohtkumar/adversarial_attacks_on_segmentation

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Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric analysis

https://github.com/rose-stl-lab/pecco

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Probabilistic Symmetry for Multi-Agent Dynamics

https://github.com/rossgreer/doscenes

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doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation

https://github.com/rpl-cmu/bevloc

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BEVLoc: Cross-View Localization and Matching via Birds-Eye-View Synthesis

https://github.com/rruisong/fedbevt

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FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems

https://github.com/rsinghlab/ovo

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One-Versus-Others Attention: Scalable Multimodal Integration for Biomedical Data

https://github.com/rst-tu-dortmund/diff_epo_planner

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Energy-based Potential Games for Joint Motion Forecasting and Control

https://github.com/rst-tu-dortmund/lord

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LoRD: Adapting Differentiable Driving Policies to Distribution Shifts

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