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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 331–340 of 2605 papers

TitleStatusHype
ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels OnlyCode1
Dynamic 3D Scene Analysis by Point Cloud AccumulationCode1
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement LearningCode1
PanoFlow: Learning 360° Optical Flow for Surrounding Temporal UnderstandingCode1
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and PriorsCode1
End-to-end Lane Shape Prediction with TransformersCode1
Emergent Road Rules In Multi-Agent Driving EnvironmentsCode1
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency LossesCode1
Autonomous driving using GA-optimized neural network based adaptive LPV-MPC controllerCode1
Show:102550
← PrevPage 34 of 261Next →

Benchmark Results

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