Papers with Code 아카이브
Autonomous Driving
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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>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Integrating Multi-Modal Sensors: A Review of Fusion Techniques for Intelligent Vehicles
V2X-REALM: Vision-Language Model-Based Robust End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling
GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction
Out-of-Distribution Semantic Occupancy Prediction
DuET: Dual Incremental Object Detection via Exemplar-Free Task Arithmetic
MADrive: Memory-Augmented Driving Scene Modeling
SAM4D: Segment Anything in Camera and LiDAR Streams
From 2D to 3D Cognition: A Brief Survey of General World Models
Case-based Reasoning Augmented Large Language Model Framework for Decision Making in Realistic Safety-Critical Driving Scenarios
Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos
Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement
Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher
Self-Supervised Multimodal NeRF for Autonomous Driving
PEVLM: Parallel Encoding for Vision-Language Models
A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects
Unified Vision-Language-Action Model
A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers
Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning
TDACloud: Point Cloud Recognition Using Topological Data Analysis
USVTrack: USV-Based 4D Radar-Camera Tracking Dataset for Autonomous Driving in Inland Waterways
Bayesian Multiobject Tracking With Neural-Enhanced Motion and Measurement Models
Coherent Track-Before-Detect
DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving
3D Gaussian Splatting for Fine-Detailed Surface Reconstruction in Large-Scale Scene
DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy
AI-based Multimodal Biometrics for Detecting Smartphone Distractions: Application to Online Learning
R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision
Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems
KDMOS:Knowledge Distillation for Motion Segmentation
Cross-Modal Geometric Hierarchy Fusion: An Implicit-Submap Driven Framework for Resilient 3D Place Recognition
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment
ADRD: LLM-Driven Autonomous Driving Based on Rule-based Decision Systems
Toward Safety-First Human-Like Decision Making for Autonomous Vehicles in Time-Varying Traffic Flow
STAGE: A Stream-Centric Generative World Model for Long-Horizon Driving-Scene Simulation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.