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 331340 of 2605 papers

TitleStatusHype
DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing0
Fast and Efficient Transformer-based Method for Bird's Eye View Instance PredictionCode1
Machine vision-aware quality metrics for compressed image and video assessment0
Lost in Tracking Translation: A Comprehensive Analysis of Visual SLAM in Human-Centered XR and IoT Ecosystems0
FuzzRisk: Online Collision Risk Estimation for Autonomous Vehicles based on Depth-Aware Object Detection via Fuzzy Inference0
Knowledge Distillation Neural Network for Predicting Car-following Behaviour of Human-driven and Autonomous Vehicles0
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous DrivingCode1
Personalized Federated Learning for Cross-view Geo-localization0
Federated Data-Driven Kalman Filtering for State Estimation0
Towards 3D Semantic Scene Completion for Autonomous Driving: A Meta-Learning Framework Empowered by Deformable Large-Kernel Attention and Mamba Model0
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Benchmark Results

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