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 126–150 of 589 papers

TitleStatusHype
Advances in UAV Avionics Systems Architecture, Classification and Integration: A Comprehensive Review and Future Perspectives—0
A Benchmark Comparison of Visual Place Recognition Techniques for Resource-Constrained Embedded Platforms—0
Capsule Network Performance with Autonomous Navigation—0
Can You Trust Your Pose? Confidence Estimation in Visual Localization—0
AnyTraverse: An off-road traversability framework with VLM and human operator in the loop—0
Can Reasons Help Improve Pedestrian Intent Estimation? A Cross-Modal Approach—0
Camera-Only Bird's Eye View Perception: A Neural Approach to LiDAR-Free Environmental Mapping for Autonomous Vehicles—0
A Novel Deep Neural Network Architecture for Mars Visual Navigation—0
Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs—0
3DGS_LSR:Large_Scale Relocation for Autonomous Driving Based on 3D Gaussian Splatting—0
Domain Adaptation Using Adversarial Learning for Autonomous Navigation—0
Building Intelligent Autonomous Navigation Agents—0
Building3D: A Urban-Scale Dataset and Benchmarks for Learning Roof Structures from Point Clouds—0
A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops—0
Building3D: An Urban-Scale Dataset and Benchmarks for Learning Roof Structures from Point Clouds—0
Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation—0
Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles—0
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models—0
An Improved Deep Convolutional Neural Network-Based Autonomous Road Inspection Scheme Using Unmanned Aerial Vehicles—0
Disaggregated Deep Learning via In-Physics Computing at Radio Frequency—0
Boosting Image Super-Resolution Via Fusion of Complementary Information Captured by Multi-Modal Sensors—0
A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation—0
Discriminative Map Retrieval Using View-Dependent Map Descriptor—0
Distance Estimation to Support Assistive Drones for the Visually Impaired using Robust Calibration—0
An Image Processing Pipeline for Autonomous Deep-Space Optical Navigation—0
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