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/hustvl/diffusiondrive

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DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

https://github.com/hustvl/gausstr

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GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding

https://github.com/hustvl/gkt

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Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer

https://github.com/hustvl/lanegap

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Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction

https://github.com/hustvl/maptr

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MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

https://github.com/hustvl/mim4d

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MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving Representation Learning

https://github.com/hustvl/senna

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Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

https://github.com/hustvl/symphonies

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Symphonize 3D Semantic Scene Completion with Contextual Instance Queries

https://github.com/hustvl/vad

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VAD: Vectorized Scene Representation for Efficient Autonomous Driving

https://github.com/hustvl/vma

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VMA: Divide-and-Conquer Vectorized Map Annotation System for Large-Scale Driving Scene

https://github.com/hustvl/yolop

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YOLOP: You Only Look Once for Panoptic Driving Perception

https://github.com/huyjj/ADUNet/blob/main/SwinIR.py

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Asymmetric Dual-Decoder U-Net for Joint Rain and Haze Removal

https://github.com/hvxlab/hvdetfusion

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HVDetFusion: A Simple and Robust Camera-Radar Fusion Framework

https://github.com/hvzzzz/vehicle_trajectory_dataset

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I see you: A Vehicle-Pedestrian Interaction Dataset from Traffic Surveillance Cameras

https://github.com/hxmap/hrmapnet

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Enhancing Vectorized Map Perception with Historical Rasterized Maps

https://github.com/hxmap/mapqr

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Leveraging Enhanced Queries of Point Sets for Vectorized Map Construction

https://github.com/hxzhong1997/fsba

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Few-Shot Backdoor Attacks on Visual Object Tracking

https://github.com/hyan-yao/comal

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CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic

https://github.com/hyan-yao/lilodriver

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LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios

https://github.com/hysonlab/pointdistill

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Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing

https://github.com/hzheng40/objective_space_cfr

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Game-theoretic Objective Space Planning

https://github.com/hzxie/awesome-3d-scene-generation

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3D Scene Generation: A Survey

https://github.com/i-ASL/BiC-MPPI

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BiC-MPPI: Goal-Pursuing, Sampling-Based Bidirectional Rollout Clustering Path Integral for Trajectory Optimization

https://github.com/i3tyc/adaptslam

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AdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty Minimization

https://github.com/iamollas/LioNets

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LioNets: Local Interpretation of Neural Networks through Penultimate Layer Decoding

https://github.com/iceory/reo

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Robust 3D Semantic Occupancy Prediction with Calibration-free Spatial Transformation

https://github.com/icey-zhang/E2E-MFD

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E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection

https://github.com/ichakra2/pca-hybrid

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Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence

https://github.com/ido90/CeSoR

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Efficient Risk-Averse Reinforcement Learning

https://github.com/idsc-frazzoli/dg-commons

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A Counterfactual Safety Margin Perspective on the Scoring of Autonomous Vehicles' Riskiness

https://github.com/ifnspaml/CIL_Segmentation

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Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels

https://github.com/ifnspaml/cbna

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Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation

https://github.com/igmr-rwth/randt-slam

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RaNDT SLAM: Radar SLAM Based on Intensity-Augmented Normal Distributions Transform

https://github.com/ignc-research/arena-rosnav

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Arena-Rosnav: Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems

https://github.com/ihabmohamed/gp-mppi

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GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments

https://github.com/iis-esslingen/nerf-3dgs-benchmark

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NeRF and Gaussian Splatting SLAM in the Wild

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