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Autonomous Navigation

Autonomous navigation is the task of autonomously navigating a vehicle or robot to or around a location without human guidance.

( Image credit: Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars )

Papers

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Showing 1–25 of 589 papers

TitleStatusHype
Evaluating Reinforcement Learning Algorithms for Navigation in Simulated Robotic Quadrupeds: A Comparative Study Inspired by Guide Dog Behaviour—0
Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios—0
GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View LocalizationCode0
A Neural Representation Framework with LLM-Driven Spatial Reasoning for Open-Vocabulary 3D Visual Grounding—0
3DGS_LSR:Large_Scale Relocation for Autonomous Driving Based on 3D Gaussian Splatting—0
YOLO-APD: Enhancing YOLOv8 for Robust Pedestrian Detection on Complex Road Geometries—0
RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles—0
Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed AugmentationCode1
ThermalDiffusion: Visual-to-Thermal Image-to-Image Translation for Autonomous Navigation—0
Learning-Based Distance Estimation for 360° Single-Sensor Setups—0
Robotics Under Construction: Challenges on Job Sites—0
A Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement—0
AnyTraverse: An off-road traversability framework with VLM and human operator in the loop—0
EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization—0
DRIVE Through the Unpredictability:From a Protocol Investigating Slip to a Metric Estimating Command Uncertainty—0
Towards Perception-based Collision Avoidance for UAVs when Guiding the Visually Impaired—0
Uncertainty-Driven Radar-Inertial Fusion for Instantaneous 3D Ego-Velocity Estimation—0
DiFuse-Net: RGB and Dual-Pixel Depth Estimation using Window Bi-directional Parallax Attention and Cross-modal Transfer Learning—0
Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review—0
Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving—0
VideoMolmo: Spatio-Temporal Grounding Meets PointingCode2
Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories—0
Structural Vibration Monitoring with Diffractive Optical Processors—0
EDEN: Entorhinal Driven Egocentric Navigation Toward Robotic Deployment—0
Q-ARDNS-Multi: A Multi-Agent Quantum Reinforcement Learning Framework with Meta-Cognitive Adaptation for Complex 3D Environments—0
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