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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 576–589 of 589 papers

TitleStatusHype
Inertial Guided Uncertainty Estimation of Feature Correspondence in Visual-Inertial Odometry/SLAM—0
Safe Feedback Motion Planning in Unknown Environments: An Instantaneous Local Control Barrier Function Approach—0
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation—0
Interpretable Data-Driven Ship Dynamics Model: Enhancing Physics-Based Motion Prediction with Parameter Optimization—0
Interstellar Object Accessibility and Mission Design—0
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation—0
Introducing VaDA: Novel Image Segmentation Model for Maritime Object Segmentation Using New Dataset—0
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning—0
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles—0
Irregular Change Detection in Sparse Bi-Temporal Point Clouds using Learned Place Recognition Descriptors and Point-to-Voxel Comparison—0
Iterating the Transient Light Transport Matrix for Non-Line-of-Sight Imaging—0
Lane Detection System for Driver Assistance in Vehicles—0
LapGSR: Laplacian Reconstructive Network for Guided Thermal Super-Resolution—0
(LC)^2: LiDAR-Camera Loop Constraints For Cross-Modal Place Recognition—0
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