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 201–210 of 2605 papers

TitleStatusHype
Motion Forecasting for Autonomous Vehicles: A Survey—0
Fine-Tuning Federated Learning-Based Intrusion Detection Systems for Transportation IoT—0
CacheMamba: Popularity Prediction for Mobile Edge Caching Networks via Selective State Spaces—0
GaussRender: Learning 3D Occupancy with Gaussian RenderingCode2
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices—0
Bridging the inference gap in Mutimodal Variational Autoencoders—0
OneTrack-M: A multitask approach to transformer-based MOT models—0
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses—0
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges—0
Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks—0
Show:102550
← PrevPage 21 of 261Next →

Benchmark Results

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