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 10211030 of 2605 papers

TitleStatusHype
Traffic Flow Simulation for Autonomous Driving0
Adversarial Feature Map Pruning for BackdoorCode0
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
Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes0
Density-invariant Features for Distant Point Cloud RegistrationCode1
Radar-STDA: A High-Performance Spatial-Temporal Denoising Autoencoder for Interference Mitigation of FMCW RadarsCode1
Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy WeatherCode1
EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps0
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Benchmark Results

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