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 1331–1340 of 2605 papers

TitleStatusHype
PAI3D: Painting Adaptive Instance-Prior for 3D Object Detection—0
PALM: An Incremental Construction of Hyperplanes for Data Stream Regression—0
PaniCar: Securing the Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting—0
Parallelized Interactive Machine Learning on Autonomous Vehicles—0
Partial Weight Adaptation for Robust DNN Inference—0
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving—0
Passenger hazard perception based on EEG signals for highly automated driving vehicles—0
PatchContrast: Self-Supervised Pre-training for 3D Object Detection—0
Path Planning in Support of Smart Mobility Applications using Generative Adversarial Networks—0
PBP: Path-based Trajectory Prediction for Autonomous Driving—0
Show:102550
← PrevPage 134 of 261Next →

Benchmark Results

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