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

Showing 301316 of 316 papers

TitleStatusHype
TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual CorruptionsCode0
Drone Path-Following in GPS-Denied Environments using Convolutional NetworksCode0
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected ObservationsCode0
Contrastive Learning for Image Registration in Visual Teach and Repeat NavigationCode0
Visual Navigation of Digital Libraries: Retrieval and Classification of Images in the National Library of Norway's Digitised Book CollectionCode0
Bayesian Relational Memory for Semantic Visual NavigationCode0
Visual Pre-training for Navigation: What Can We Learn from Noise?Code0
Visual Representations for Semantic Target Driven NavigationCode0
World-Map Misalignment Detection for Visual Navigation SystemsCode0
VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language NavigationCode0
Zero-Shot Object Goal Visual Navigation With Class-Independent Relationship NetworkCode0
Addressing the challenges of loop detection in agricultural environmentsCode0
3D Visual Perception for Self-Driving Cars using a Multi-Camera System: Calibration, Mapping, Localization, and Obstacle DetectionCode0
RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground CuesCode0
A Hybrid Compact Neural Architecture for Visual Place RecognitionCode0
OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy RepresentationCode0
Show:102550
← PrevPage 13 of 13Next →

Benchmark Results

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