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

Showing 391400 of 2605 papers

TitleStatusHype
Real Time Semantic Segmentation of High Resolution Automotive LiDAR ScansCode1
ReasonDrive: Efficient Visual Question Answering for Autonomous Vehicles with Reasoning-Enhanced Small Vision-Language ModelsCode1
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
RefAV: Towards Planning-Centric Scenario MiningCode1
Reliability in Semantic Segmentation: Can We Use Synthetic Data?Code1
Reward Finetuning for Faster and More Accurate Unsupervised Object DiscoveryCode1
Proprioception Is All You Need: Terrain Classification for Boreal ForestsCode1
Risk-optimized Outlier Removal for Robust 3D Point Cloud ClassificationCode1
A Robust Pedestrian Detection Approach for Autonomous Vehicles0
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems0
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Benchmark Results

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