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 476–500 of 589 papers

TitleStatusHype
PriorMotion: Generative Class-Agnostic Motion Prediction with Raster-Vector Motion Field Priors—0
PRISM: Preference Refinement via Implicit Scene Modeling for 3D Vision-Language Preference-Based Reinforcement Learning—0
Probabilistic Scan Matching: Bayesian Pose Estimation from Point Clouds—0
Pseudo-Trilateral Adversarial Training for Domain Adaptive Traversability Prediction—0
Q-ARDNS-Multi: A Multi-Agent Quantum Reinforcement Learning Framework with Meta-Cognitive Adaptation for Complex 3D Environments—0
Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems—0
QuasiNav: Asymmetric Cost-Aware Navigation Planning with Constrained Quasimetric Reinforcement Learning—0
R2P: A Deep Learning Model from mmWave Radar to Point Cloud—0
Racing Towards Reinforcement Learning based control of an Autonomous Formula SAE Car—0
RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles—0
RAIL: Robust Acoustic Indoor Localization for Drones—0
Real-Time Lane ID Estimation Using Recurrent Neural Networks With Dual Convention—0
Real-Time Moving Flock Detection in Pedestrian Trajectories Using Sequential Deep Learning Models—0
Real-Time Navigation for Autonomous Aerial Vehicles Using Video—0
Real-Time Sensor-Based Feedback Control for Obstacle Avoidance in Unknown Environments—0
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review—0
Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review—0
Rapid Exploration for Open-World Navigation with Latent Goal Models—0
Reinforcement Learning Based Safe Decision Making for Highway Autonomous Driving—0
Reinforcement Learning for Safe Autonomous Two Device Navigation of Cerebral Vessels in Mechanical Thrombectomy—0
Reinforcement Learning for UAV Autonomous Navigation, Mapping and Target Detection—0
Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation—0
Research on Autonomous Robots Navigation based on Reinforcement Learning—0
Research on Reliable and Safe Occupancy Grid Prediction in Underground Parking Lots—0
Resource-Efficient Neural Networks for Embedded Systems—0
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