Papers Autonomous Navigation
“Autonomous Navigation” 태그가 달린 논문 589편 · 필터 해제
Evaluating Reinforcement Learning Algorithms for Navigation in Simulated Robotic Quadrupeds: A Comparative Study Inspired by Guide Dog Behaviour
Robots are increasingly integrated across industries, particularly in healthcare. However, many valuable applications for quadrupedal robots remain overlooked. This research explores the effectiveness of three reinforcem…
Autonomous NavigationQ-LearningVision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios
Obstacle avoidance is essential for ensuring the safety of autonomous vehicles. Accurate perception and motion planning are crucial to enabling vehicles to navigate complex environments while avoiding collisions. In this…
Autonomous NavigationAutonomous VehiclesDepth EstimationMonocular Depth Estimation+4GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization
Cross-view localization, the task of estimating a camera's 3-degrees-of-freedom (3-DoF) pose by aligning ground-level images with satellite images, is crucial for large-scale outdoor applications like autonomous navigati…
Autonomous NavigationA Neural Representation Framework with LLM-Driven Spatial Reasoning for Open-Vocabulary 3D Visual Grounding
Open-vocabulary 3D visual grounding aims to localize target objects based on free-form language queries, which is crucial for embodied AI applications such as autonomous navigation, robotics, and augmented reality. Learn…
3D visual groundingAutonomous NavigationLarge Language ModelSpatial Reasoning+13DGS_LSR:Large_Scale Relocation for Autonomous Driving Based on 3D Gaussian Splatting
In autonomous robotic systems, precise localization is a prerequisite for safe navigation. However, in complex urban environments, GNSS positioning often suffers from signal occlusion and multipath effects, leading to un…
3DGSAutonomous DrivingAutonomous NavigationYOLO-APD: Enhancing YOLOv8 for Robust Pedestrian Detection on Complex Road Geometries
Autonomous vehicle perception systems require robust pedestrian detection, particularly on geometrically complex roadways like Type-S curved surfaces, where standard RGB camera-based methods face limitations. This paper …
Autonomous NavigationDomain AdaptationPedestrian DetectionRaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles
Low-cost indoor mobile robots have gained popularity with the increasing adoption of automation in homes and commercial spaces. However, existing lidar and camera-based solutions have limitations such as poor performance…
Autonomous NavigationGraph Neural NetworkPoint Cloud GenerationRaspberry Pi 5Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed Augmentation
Underwater object detection is crucial for autonomous navigation, environmental monitoring, and marine exploration, but it is severely hampered by light attenuation, turbidity, and occlusion. Current methods balance accu…
Autonomous NavigationComputational Efficiencyobject-detectionObject DetectionThermalDiffusion: Visual-to-Thermal Image-to-Image Translation for Autonomous Navigation
Autonomous systems rely on sensors to estimate the environment around them. However, cameras, LiDARs, and RADARs have their own limitations. In nighttime or degraded environments such as fog, mist, or dust, thermal camer…
Autonomous NavigationDepth EstimationImage-to-Image Translationobject-detection+2Learning-Based Distance Estimation for 360° Single-Sensor Setups
Accurate distance estimation is a fundamental challenge in robotic perception, particularly in omnidirectional imaging, where traditional geometric methods struggle with lens distortions and environmental variability. In…
Autonomous NavigationRobotics Under Construction: Challenges on Job Sites
As labor shortages and productivity stagnation increasingly challenge the construction industry, automation has become essential for sustainable infrastructure development. This paper presents an autonomous payload trans…
Autonomous NavigationA Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement
Low-light image enhancement remains a challenging task, particularly in the absence of paired training data. In this study, we present LucentVisionNet, a novel zero-shot learning framework that addresses the limitations …
Autonomous NavigationComputational EfficiencyImage EnhancementLow-Light Image Enhancement+1EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization
Active event perception, the ability to dynamically detect, track, and summarize events in real time, is essential for embodied intelligence in tasks such as human-AI collaboration, assistive robotics, and autonomous nav…
Autonomous NavigationPrivacy PreservingRepresentation LearningAnyTraverse: An off-road traversability framework with VLM and human operator in the loop
Off-road traversability segmentation enables autonomous navigation with applications in search-and-rescue, military operations, wildlife exploration, and agriculture. Current frameworks struggle due to significant variat…
Autonomous NavigationZero-Shot LearningDRIVE Through the Unpredictability:From a Protocol Investigating Slip to a Metric Estimating Command Uncertainty
Off-road autonomous navigation is a challenging task as it is mainly dependent on the accuracy of the motion model. Motion model performances are limited by their ability to predict the interaction between the terrain an…
Autonomous NavigationSandDiFuse-Net: RGB and Dual-Pixel Depth Estimation using Window Bi-directional Parallax Attention and Cross-modal Transfer Learning
Depth estimation is crucial for intelligent systems, enabling applications from autonomous navigation to augmented reality. While traditional stereo and active depth sensors have limitations in cost, power, and robustnes…
Autonomous NavigationDepth EstimationDepth PredictionDisparity Estimation+2Uncertainty-Driven Radar-Inertial Fusion for Instantaneous 3D Ego-Velocity Estimation
We present a method for estimating ego-velocity in autonomous navigation by integrating high-resolution imaging radar with an inertial measurement unit. The proposed approach addresses the limitations of traditional rada…
Autonomous NavigationMotion EstimationTowards Perception-based Collision Avoidance for UAVs when Guiding the Visually Impaired
Autonomous navigation by drones using onboard sensors combined with machine learning and computer vision algorithms is impacting a number of domains, including agriculture, logistics, and disaster management. In this pap…
Autonomous NavigationCollision AvoidanceManagementRecent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review
With the emergence of powerful data-driven methods in human trajectory prediction (HTP), gaining a finer understanding of multi-agent interactions lies within hand's reach, with important implications in areas such as au…
Autonomous NavigationPredictionTrajectory PredictionUsing Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving
Lane-topology prediction is a critical component of safe and reliable autonomous navigation. An accurate understanding of the road environment aids this task. We observe that this information often follows conventions en…
Autonomous DrivingAutonomous Navigation