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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 589 papers

TitleStatusHype
OCTraN: 3D Occupancy Convolutional Transformer Network in Unstructured Traffic Scenarios—0
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity—0
OIL: Observational Imitation Learning—0
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation—0
Online Mapping and Motion Planning under Uncertainty for Safe Navigation in Unknown Environments—0
Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles—0
On the Advantages of Multiple Stereo Vision Camera Designs for Autonomous Drone Navigation—0
On the Verification and Validation of AI Navigation Algorithms—0
OPAL: Visibility-aware LiDAR-to-OpenStreetMap Place Recognition via Adaptive Radial Fusion—0
Open 3D World in Autonomous Driving—0
Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering—0
ORB-based SLAM accelerator on SoC FPGA—0
Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation—0
Parameterized TDOA: Instantaneous TDOA Estimation and Localization for Mobile Targets in a Time-Division Broadcast Positioning System—0
Path Planning Algorithm Comparison Analysis for Wireless AUVs Energy Sharing System—0
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey—0
PER-DPP Sampling Framework and Its Application in Path Planning—0
Performance Analysis of Crosslink Radiometric Measurement based Autonomous Orbit Determination for Cislunar Small Satellite Formations—0
Performance Study of YOLOv5 and Faster R-CNN for Autonomous Navigation around Non-Cooperative Targets—0
Physics Based Differentiable Rendering for Inverse Problems and Beyond—0
Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images—0
Point-Based Value Iteration and Approximately Optimal Dynamic Sensor Selection for Linear-Gaussian Processes—0
Polarimetric image augmentation—0
Pole-based Vehicle Localization with Vector Maps: A Camera-LiDAR Comparative Study—0
Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation—0
Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning—0
Post-disaster building indoor damage and survivor detection using autonomous path planning and deep learning with unmanned aerial vehicles—0
Prepared for the Worst: A Learning-Based Adversarial Attack for Resilience Analysis of the ICP Algorithm—0
Prior Based Online Lane Graph Extraction from Single Onboard Camera Image—0
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
Show:102550
← PrevPage 6 of 12Next →

No leaderboard results yet.