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 301–325 of 589 papers

TitleStatusHype
CoverNav: Cover Following Navigation Planning in Unstructured Outdoor Environment with Deep Reinforcement Learning—0
Cross-Modal Knowledge Transfer Without Task-Relevant Source Data—0
CSAOT: Cooperative Multi-Agent System for Active Object Tracking—0
Cyber-resilience for marine navigation by information fusion and change detection—0
DAE-Fuse: An Adaptive Discriminative Autoencoder for Multi-Modality Image Fusion—0
Data-Driven Meets Navigation: Concepts, Models, and Experimental Validation—0
Data-Driven Strategies for Coping with Incomplete DVL Measurements—0
Decomposing the Prediction Problem; Autonomous Navigation by neoRL Agents—0
Deep Convolutional Neural Network-Based Autonomous Drone Navigation—0
Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry—0
Deep Learning-Based Multi-Modal Fusion for Robust Robot Perception and Navigation—0
Deep Learning Computer Vision Algorithms for Real-time UAVs On-board Camera Image Processing—0
Deep Neural Network for Real-Time Autonomous Indoor Navigation—0
DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar—0
Deep Reinforcement Learning for Time Optimal Velocity Control using Prior Knowledge—0
Deep RL-based Autonomous Navigation of Micro Aerial Vehicles (MAVs) in a complex GPS-denied Indoor Environment—0
DeepVO: A Deep Learning approach for Monocular Visual Odometry—0
Density Matching Reward Learning—0
Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation—0
Robot path planning using deep reinforcement learning—0
Robust Active Perception via Data-association aware Belief Space planning—0
Robust and Interpretable Grounding of Spatial References with Relation Networks—0
Robust Driving Policy Learning with Guided Meta Reinforcement Learning—0
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles—0
Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization—0
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