SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Showing 161170 of 2605 papers

TitleStatusHype
VG-SSL: Benchmarking Self-supervised Representation Learning Approaches for Visual Geo-localizationCode1
Spatio-Temporal Domain Awareness for Multi-Agent Collaborative PerceptionCode1
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving CarsCode1
Risk-optimized Outlier Removal for Robust 3D Point Cloud ClassificationCode1
Explaining Autonomous Driving Actions with Visual Question AnsweringCode1
Density-invariant Features for Distant Point Cloud RegistrationCode1
Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy WeatherCode1
Radar-STDA: A High-Performance Spatial-Temporal Denoising Autoencoder for Interference Mitigation of FMCW RadarsCode1
Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGACode1
LVLane: Deep Learning for Lane Detection and Classification in Challenging ConditionsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85Unverified
2GSNetA3DP20.21Unverified