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 176–200 of 589 papers

TitleStatusHype
Distributed Swarm Collision Avoidance Based on Angular Calculations—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
Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios—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
Autonomous Navigation of Tractor-Trailer Vehicles through Roundabout Intersections—0
Navigating Motion Agents in Dynamic and Cluttered Environments through LLM Reasoning—0
Distance Estimation to Support Assistive Drones for the Visually Impaired using Robust Calibration—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 catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning—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
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
Disaggregated Deep Learning via In-Physics Computing at Radio Frequency—0
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