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

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Showing 841–850 of 2605 papers

TitleStatusHype
EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention MechanismCode0
Planning Reliability Assurance Tests for Autonomous Vehicles—0
Learning for Semantic Knowledge Base-Guided Online Feature Transmission in Dynamic Channels—0
Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent—0
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature PerturbationCode0
S-T CRF: Spatial-Temporal Conditional Random Field for Human Trajectory Prediction—0
Game Projection and Robustness for Game-Theoretic Autonomous Driving—0
Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous DrivingCode2
Empowering Autonomous Driving with Large Language Models: A Safety Perspective—0
Lane-Keeping Control of Autonomous Vehicles Through a Soft-Constrained Iterative LQR—0
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Benchmark Results

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