SOTAVerified

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 151–200 of 589 papers

TitleStatusHype
Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles—0
A Neural Network Model of the Entorhinal Cortex and Hippocampus for Event-order Memory Processing—0
From Monocular SLAM to Autonomous Drone Exploration—0
Efficient Real-time Smoke Filtration with 3D LiDAR for Search and Rescue with Autonomous Heterogeneous Robotic Systems—0
Efficient LiDAR Odometry for Autonomous Driving—0
Bayesian Incremental Inference Update by Re-using Calculations from Belief Space Planning: A New Paradigm—0
FR-SLAM: A SLAM Improvement Method Based on Floor Plan Registration—0
Geolocation of an aircraft using image registration coupling modes for autonomous navigation—0
An Empirical Analysis of Range for 3D Object Detection—0
BadODD: Bangladeshi Autonomous Driving Object Detection Dataset—0
5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul—0
Adaptive and Dynamically Constrained Process Noise Estimation for Orbit Determination—0
Dynamic Body VSLAM with Semantic Constraints—0
Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning—0
FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation—0
Autonomous Systems: Autonomous Systems: Indoor Drone Navigation—0
Autonomous Off-road Navigation over Extreme Terrains with Perceptually-challenging Conditions—0
A Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement—0
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars—0
AdaCropFollow: Self-Supervised Online Adaptation for Visual Under-Canopy Navigation—0
Few-shot Semantic Learning for Robust Multi-Biome 3D Semantic Mapping in Off-Road Environments—0
Following Social Groups: Socially Compliant Autonomous Navigation in Dense Crowds—0
DORAEMON: Decentralized Ontology-aware Reliable Agent with Enhanced Memory Oriented Navigation—0
Domain Adaptation Using Adversarial Learning for Autonomous Navigation—0
Distributed Swarm Collision Avoidance Based on Angular Calculations—0
Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios—0
DRIVE Through the Unpredictability:From a Protocol Investigating Slip to a Metric Estimating Command Uncertainty—0
Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map—0
Autonomous Navigation of Tractor-Trailer Vehicles through Roundabout Intersections—0
DVMN: Dense Validity Mask Network for Depth Completion—0
DVM-SLAM: Decentralized Visual Monocular Simultaneous Localization and Mapping for Multi-Agent Systems—0
Dynamic Approach for Lane Detection using Google Street View and CNN—0
Distance Estimation to Support Assistive Drones for the Visually Impaired using Robust Calibration—0
Navigating Motion Agents in Dynamic and Cluttered Environments through LLM Reasoning—0
Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning—0
EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization—0
EDEN: Entorhinal Driven Egocentric Navigation Toward Robotic Deployment—0
Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions—0
Efficient and Robust Machine Learning for Real-World Systems—0
Efficient Label Collection for Unlabeled Image Datasets—0
Autonomous Navigation of an Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learning—0
Discriminative Map Retrieval Using View-Dependent Map Descriptor—0
A Literature Review on the Smart Wheelchair Systems—0
Action-conditioned Deep Visual Prediction with RoAM, a new Indoor Human Motion Dataset for Autonomous Robots—0
Fast Object Detection with a Machine Learning Edge Device—0
Disaggregated Deep Learning via In-Physics Computing at Radio Frequency—0
Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning—0
A Neural Representation Framework with LLM-Driven Spatial Reasoning for Open-Vocabulary 3D Visual Grounding—0
Enhancing Navigation Benchmarking and Perception Data Generation for Row-based Crops in Simulation—0
Digital Watermarking Model for CityGML—0
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