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/tom-roddick/mono-semantic-maps

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Predicting Semantic Map Representations from Images using Pyramid Occupancy Networks

https://github.com/tommygong08/msif

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Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional Approach

https://github.com/tong-zeng/dvbench

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Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video Understanding

https://github.com/tongnie/awesome-llm4tr

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Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap

https://github.com/tongshw/geodistill

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GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization

https://github.com/torrvision/straighttoshapes

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Straight to Shapes++: Real-time Instance Segmentation Made More Accurate

https://github.com/tourlics/robus_dataset

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RoBus: A Multimodal Dataset for Controllable Road Networks and Building Layouts Generation

https://github.com/towardsautonomy/VR3Dense

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VR3Dense: Voxel Representation Learning for 3D Object Detection and Monocular Dense Depth Reconstruction

https://github.com/towardsautonomy/datasetequity

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DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets

https://github.com/toytiny/cmflow

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Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision

https://github.com/toytiny/radarocc

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RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar

https://github.com/toytiny/raflow

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Self-Supervised Scene Flow Estimation with 4-D Automotive Radar

https://github.com/tpoellabauer/ycb-luma

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YCB-LUMA: YCB Object Dataset with Luminance Keying for Object Localization

https://github.com/traffic-alpha/illm-tsc

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iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement

https://github.com/traffic-alpha/llm-assisted-light

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LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments

https://github.com/trailab/gmir

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Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection

https://github.com/trailab/hypermodest

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HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score Filtering

https://github.com/trailab/jdt3d

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JDT3D: Addressing the Gaps in LiDAR-Based Tracking-by-Attention

https://github.com/trailab/pdv

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Point Density-Aware Voxels for LiDAR 3D Object Detection

https://github.com/trailab/uncertaintytrack

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UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking

https://github.com/tranleanh/adas_od_enhance

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Robustness Enhancement of Object Detection in Advanced Driver Assistance Systems (ADAS)

https://github.com/travelbureau/f0_icml_code

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FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis

https://github.com/tree985/treble-counterfactual-vlms

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Treble Counterfactual VLMs: A Causal Approach to Hallucination

https://github.com/tri-ml/haicu

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Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty

https://github.com/triumph123aaa/grid-augmented-vision

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Grid-augmented vision: A simple yet effective approach for enhanced spatial understanding in multi-modal agents

https://github.com/trungmanhhuynh/GPRAR

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GPRAR: Graph Convolutional Network based Pose Reconstruction and Action Recognition for Human Trajectory Prediction

https://github.com/trustai/robustbev

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A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detection

https://github.com/tryhiseyyysum/menol

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Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous Driving

https://github.com/tsattler/understanding_apr

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Understanding the Limitations of CNN-based Absolute Camera Pose Regression

https://github.com/tsattler/visuallocalizationbenchmark

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Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis

https://github.com/tsb0601/multimon

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Mass-Producing Failures of Multimodal Systems with Language Models

https://github.com/tsigalko18/transferability-testing-sdcs

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Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems

https://github.com/tsinghua-fib-lab/moss

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A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarking

https://github.com/tsinghua-mars-lab/statetransformer

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Large Trajectory Models are Scalable Motion Predictors and Planners

https://github.com/ttuhamg/driveditfit

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DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving

https://github.com/tuantdang/v3d-slam

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V3D-SLAM: Robust RGB-D SLAM in Dynamic Environments with 3D Semantic Geometry Voting

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.