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 161170 of 2605 papers

TitleStatusHype
INTENT: Trajectory Prediction Framework with Intention-Guided Contrastive Clustering0
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation0
Navigating Intelligence: A Survey of Google OR-Tools and Machine Learning for Global Path Planning in Autonomous Vehicles0
Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions0
ecg2o: A Seamless Extension of g2o for Equality-Constrained Factor Graph OptimizationCode0
Human-AI Interaction Design Standards0
Range and Angle Estimation with Spiking Neural Resonators for FMCW Radar0
HiMo: High-Speed Objects Motion Compensation in Point Clouds0
Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive LearningCode1
QDCNN: Quantum Deep Learning for Enhancing Safety and Reliability in Autonomous Transportation Systems0
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Benchmark Results

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