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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
Conditional Affordance Learning for Driving in Urban EnvironmentsCode0
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles—0
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-DronesCode1
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
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous NavigationCode1
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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