SOTAVerified

Visual Navigation

Visual Navigation is the problem of navigating an agent, e.g. a mobile robot, in an environment using camera input only. The agent is given a target image (an image it will see from the target position), and its goal is to move from its current position to the target by applying a sequence of actions, based on the camera observations only.

Source: Vision-based Navigation Using Deep Reinforcement Learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 316 papers

TitleStatusHype
Fast Object Detection with a Machine Learning Edge Device—0
Fast Traversability Estimation for Wild Visual Navigation—0
Feudal Networks for Visual Navigation—0
Few-Shot Goal Inference for Visuomotor Learning and Planning—0
Filter-Aware Model-Predictive Control—0
Flex: End-to-End Text-Instructed Visual Navigation from Foundation Model Features—0
FloNa: Floor Plan Guided Embodied Visual Navigation—0
From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN)—0
Visuospatial navigation without distance, prediction, integration, or maps—0
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment—0
Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability—0
Good Actions Succeed, Bad Actions Generalize: A Case Study on Why RL Generalizes Better—0
Google Map Aided Visual Navigation for UAVs in GPS-denied Environment—0
Gram-SLD: Automatic Self-labeling and Detection for Instance Objects—0
GraphMapper: Efficient Visual Navigation by Scene Graph Generation—0
Grounding Video Models to Actions through Goal Conditioned Exploration—0
High-precision visual navigation device calibration method based on collimator—0
HM3D-OVON: A Dataset and Benchmark for Open-Vocabulary Object Goal Navigation—0
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes—0
Improving Collision-Free Success Rate For Object Goal Visual Navigation Via Two-Stage Training With Collision Prediction—0
Improving Target-driven Visual Navigation with Attention on 3D Spatial Relationships—0
Improving the Generalization of Visual Navigation Policies using Invariance Regularization—0
Improving Vision-and-Language Navigation by Generating Future-View Image Semantics—0
Improving Visual Feature Extraction in Glacial Environments—0
Initialization of Monocular Visual Navigation for Autonomous Agents Using Modified Structure from Small Motion—0
Instance-Specific Image Goal Navigation: Training Embodied Agents to Find Object Instances—0
Integrating Symmetry into Differentiable Planning with Steerable Convolutions—0
Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks—0
Invariance is Key to Generalization: Examining the Role of Representation in Sim-to-Real Transfer for Visual Navigation—0
Knowledge-driven Scene Priors for Semantic Audio-Visual Embodied Navigation—0
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching—0
Learned Visual Navigation for Under-Canopy Agricultural Robots—0
Learning and Planning with a Semantic Model—0
Learning a State Representation and Navigation in Cluttered and Dynamic Environments—0
ELBA: Learning by Asking for Embodied Visual Navigation and Task Completion—0
Learning Efficient Multi-Agent Cooperative Visual Exploration—0
Learning for Visual Navigation by Imagining the Success—0
Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks—0
Benchmarking Augmentation Methods for Learning Robust Navigation Agents: the Winning Entry of the 2021 iGibson Challenge—0
Learning to Drive Anywhere with Model-Based Reannotation—0
Learning Value Functions from Undirected State-only Experience—0
Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation—0
LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction—0
Lifelong Topological Visual Navigation—0
Long-term Visual Localization using Semantically Segmented Images—0
L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning—0
MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation—0
Machine Learning for Visual Navigation of Unmanned Ground Vehicles—0
MemoNav: Selecting Informative Memories for Visual Navigation—0
Memory Proxy Maps for Visual Navigation—0
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All datasetsCooperative Vision-and-Dialogue NavigationR2RSOON TestAI2-THORDmlab-30Help, Anna! (HANNA)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NaviLLMdist_to_end_reduction7.9—Unverified
2VLN-PETLdist_to_end_reduction6.13—Unverified
3early to beddist_to_end_reduction6.03—Unverified
4HAMTdist_to_end_reduction5.58—Unverified
5s-agent (NDH-Full)dist_to_end_reduction5.27—Unverified
6BabyWalk (r2r-pretrain)dist_to_end_reduction4.46—Unverified
7Environment-agnostic Multitask Learningdist_to_end_reduction3.91—Unverified
8BabyWalkdist_to_end_reduction3.65—Unverified
9Test2-NDHdist_to_end_reduction3.44—Unverified
10SCoAdist_to_end_reduction3.37—Unverified
#ModelMetricClaimedVerifiedStatus
1SUSAspl0.64—Unverified
2Meta-Explorespl0.61—Unverified
3NaviLLMspl0.6—Unverified
4BEV-BERTspl0.6—Unverified
5HOPspl0.59—Unverified
6DUETspl0.58—Unverified
7VLN-PETLspl0.58—Unverified
8VLN-BERTspl0.57—Unverified
9Prevalentspl0.51—Unverified
10RCM+SIL(no early exploration)spl0.38—Unverified
#ModelMetricClaimedVerifiedStatus
1AutoVLNNav-SPL27.83—Unverified
2NaviLLMNav-SPL26.26—Unverified
3Meta-ExploreNav-SPL25.8—Unverified
4SUSANav-SPL25.47—Unverified
5DUETNav-SPL21.42—Unverified
6GBENav-SPL13.3—Unverified
#ModelMetricClaimedVerifiedStatus
1MVV-INSPL (All)17.27—Unverified
2SAVNSPL (All)16.15—Unverified
#ModelMetricClaimedVerifiedStatus
1PopArt-IMPALAMedium Human-Normalized Score72.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Prevalentspl28.72—Unverified