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/jacklinkk/torchgrl

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Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments

https://github.com/jackstelling/biasmitigation

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"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving

https://github.com/jacobieee/st-mr

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Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction

https://github.com/jacobwang925/path-integral-pinn

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Physics-Informed Representation and Learning: Control and Risk Quantification

https://github.com/jaewoo97/kdtf

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Multi-modal Knowledge Distillation-based Human Trajectory Forecasting

https://github.com/jameszhou-gl/gpt-4v-distribution-shift

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How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation

https://github.com/jamycheung/ISSAFE

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ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data

https://github.com/janegerken/heal-swin

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HEAL-SWIN: A Vision Transformer On The Sphere

https://github.com/janhq/visual-thinker

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AlphaMaze: Enhancing Large Language Models' Spatial Intelligence via GRPO

https://github.com/janmarcelkezmann/metadetect3d

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LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds

https://github.com/jarvishou829/sups

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SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving

https://github.com/jarvisyjw/gv-bench

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GV-Bench: Benchmarking Local Feature Matching for Geometric Verification of Long-term Loop Closure Detection

https://github.com/jasmine-0/spcl

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Towards stable training of parallel continual learning

https://github.com/jasmine-tjy/semantic-based-point-cloud-tasks

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Implicit Guidance and Explicit Representation of Semantic Information in Points Cloud: A Survey

https://github.com/jasonkks/pttr

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Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking with Transformer

https://github.com/jasonxu1225/awesome-constraint-inference-in-rl

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A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges

https://github.com/jault/StateStreetSumo

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Learning an Interpretable Traffic Signal Control Policy

https://github.com/javyduck/ChatScene

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ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles

https://github.com/jayLEE0301/vq_bet_official

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Behavior Generation with Latent Actions

https://github.com/jbji/repvf

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RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception

https://github.com/jbwang1997/OPUS

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OPUS: Occupancy Prediction Using a Sparse Set

https://github.com/jchengai/forecast-mae

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Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders

https://github.com/jdieber/WhyModelWhy

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Why model why? Assessing the strengths and limitations of LIME

https://github.com/jedeschaud/ct_icp

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CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure

https://github.com/jeetv/gmvd

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Bringing Generalization to Deep Multi-View Pedestrian Detection

https://github.com/jeffwang987/asap

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Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark

https://github.com/jeffwang987/openoccupancy

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OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception

https://github.com/jeongjin0/invisible-backdoor-object-detection

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Mask-based Invisible Backdoor Attacks on Object Detection

https://github.com/jessicamecht/concept_gridlock

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Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving

https://github.com/jhagenus/general-framework-update-adversarial-jeroen

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Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State Perturbation

https://github.com/jiabeiwangtju/dicl

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Deep Intra-Image Contrastive Learning for Weakly Supervised One-Step Person Search

https://github.com/jiachengzuo/ralad

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RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning

https://github.com/jiahaoljh/mapvectorizationevaltoolkit

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Online Map Vectorization for Autonomous Driving: A Rasterization Perspective

https://github.com/jialeli1/lidarseg3d

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MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving

https://github.com/jialewei/onebev

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OneBEV: Using One Panoramic Image for Bird's-Eye-View Semantic Mapping

https://github.com/jiamiya/HOPE

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HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios

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