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 111–120 of 2605 papers

TitleStatusHype
Proprioception Is All You Need: Terrain Classification for Boreal ForestsCode1
PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF PriorsCode1
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLOCode1
AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge IntegrationCode1
Fourier Prompt Tuning for Modality-Incomplete Scene SegmentationCode1
SGV3D:Towards Scenario Generalization for Vision-based Roadside 3D Object DetectionCode1
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under UncertaintyCode1
A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle PlatooningCode1
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous DrivingCode1
Show:102550
← PrevPage 12 of 261Next →

Benchmark Results

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