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 426–450 of 589 papers

TitleStatusHype
Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place RecognitionCode1
Autonomous Navigation of an Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learning—0
FAITH: Fast iterative half-plane focus of expansion estimation using event-based optic flowCode0
A Graph Neural Network to Model Disruption in Human-Aware Robot NavigationCode1
New Methods for Detecting Concentric Objects With High Accuracy—0
Autonomous Navigation in Dynamic Environments: Deep Learning-Based Approach—0
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars—0
Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm—0
Autonomous Off-road Navigation over Extreme Terrains with Perceptually-challenging Conditions—0
Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection—0
On the Verification and Validation of AI Navigation Algorithms—0
Binary TTC: A Temporal Geofence for Autonomous NavigationCode1
Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental ConditionsCode1
A Hybrid Learner for Simultaneous Localization and Mapping—0
Robust Small Object Detection on the Water Surface Through Fusion of Camera and Millimeter Wave Radar—0
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning—0
Point-Based Value Iteration and Approximately Optimal Dynamic Sensor Selection for Linear-Gaussian Processes—0
Social NCE: Contrastive Learning of Socially-aware Motion RepresentationsCode1
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online LearningCode1
Boosting Image Super-Resolution Via Fusion of Complementary Information Captured by Multi-Modal Sensors—0
Understanding Bird's-Eye View of Road Semantics using an Onboard CameraCode1
Meta-Cognition-Based Simple And Effective Approach To Object Detection—0
Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation—0
Learning Synthetic to Real Transfer for Localization and Navigational Tasks—0
Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-wideband—0
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