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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 551–575 of 589 papers

TitleStatusHype
Connecting Visual Experiences using Max-flow Network with Application to Visual Localization—0
Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures—0
Conditional Affordance Learning for Driving in Urban EnvironmentsCode0
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles—0
Learning to Navigate in Cities Without a MapCode0
Fusion of stereo and still monocular depth estimates in a self-supervised learning context—0
A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation—0
OIL: Observational Imitation Learning—0
Correlation Flow: Robust Optical Flow Using Kernel Cross-CorrelatorsCode0
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic NavigationCode0
Domain Adaptation Using Adversarial Learning for Autonomous Navigation—0
Minimizing Supervision for Free-space SegmentationCode0
FPGA based Parallelized Architecture of Efficient Graph based Image Segmentation Algorithm—0
Digital Watermarking Model for CityGML—0
Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning—0
Automatic Discovery and Geotagging of Objects from Street View ImageryCode0
3D Pose Regression using Convolutional Neural Networks—0
Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation—0
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?—0
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation—0
Socially Aware Motion Planning with Deep Reinforcement LearningCode0
Encouraging LSTMs to Anticipate Actions Very EarlyCode0
A Review of Methodologies for Natural-Language-Facilitated Human-Robot Cooperation—0
DeepVO: A Deep Learning approach for Monocular Visual Odometry—0
Mobility Map Computations for Autonomous Navigation using an RGBD Sensor—0
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