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Autonomous Navigation
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Autonomous navigation is the task of autonomously navigating a vehicle or robot to or around a location without human guidance.
<span style="color:grey; opacity: 0.6">( Image credit: Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios
GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization
A Neural Representation Framework with LLM-Driven Spatial Reasoning for Open-Vocabulary 3D Visual Grounding
3DGS_LSR:Large_Scale Relocation for Autonomous Driving Based on 3D Gaussian Splatting
YOLO-APD: Enhancing YOLOv8 for Robust Pedestrian Detection on Complex Road Geometries
RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles
Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed Augmentation
ThermalDiffusion: Visual-to-Thermal Image-to-Image Translation for Autonomous Navigation
Learning-Based Distance Estimation for 360° Single-Sensor Setups
Robotics Under Construction: Challenges on Job Sites
A Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement
AnyTraverse: An off-road traversability framework with VLM and human operator in the loop
EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization
DRIVE Through the Unpredictability:From a Protocol Investigating Slip to a Metric Estimating Command Uncertainty
Context manipulation attacks : Web agents are susceptible to corrupted memory
Uncertainty-Driven Radar-Inertial Fusion for Instantaneous 3D Ego-Velocity Estimation
DiFuse-Net: RGB and Dual-Pixel Depth Estimation using Window Bi-directional Parallax Attention and Cross-modal Transfer Learning
Towards Perception-based Collision Avoidance for UAVs when Guiding the Visually Impaired
Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review
Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving
VideoMolmo: Spatio-Temporal Grounding Meets Pointing
Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories
EDEN: Entorhinal Driven Egocentric Navigation Toward Robotic Deployment
Structural Vibration Monitoring with Diffractive Optical Processors
Q-ARDNS-Multi: A Multi-Agent Quantum Reinforcement Learning Framework with Meta-Cognitive Adaptation for Complex 3D Environments
A Compendium of Autonomous Navigation using Object Detection and Tracking in Unmanned Aerial Vehicles
3D Gaussian Splat Vulnerabilities
DORAEMON: Decentralized Ontology-aware Reliable Agent with Enhanced Memory Oriented Navigation
GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control
MIND-Stack: Modular, Interpretable, End-to-End Differentiability for Autonomous Navigation
MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity
Human-like Semantic Navigation for Autonomous Driving using Knowledge Representation and Large Language Models
Path Planning Algorithm Comparison Analysis for Wireless AUVs Energy Sharing System
NavBench: A Unified Robotics Benchmark for Reinforcement Learning-Based Autonomous Navigation
SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation
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