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 801–810 of 2605 papers

TitleStatusHype
Revisiting Few-Shot Object Detection with Vision-Language ModelsCode0
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles—0
Manipulating Trajectory Prediction with Backdoors—0
BEVSeg2TP: Surround View Camera Bird's-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction—0
3D-CLMI: A Motor Imagery EEG Classification Model via Fusion of 3D-CNN and LSTM with Attention—0
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios—0
Parameterized Decision-making with Multi-modal Perception for Autonomous DrivingCode1
First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria—0
Long-Tailed 3D Detection via Multi-Modal FusionCode0
Robust Stochastic Graph Generator for Counterfactual Explanations—0
Show:102550
← PrevPage 81 of 261Next →

Benchmark Results

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