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

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Showing 751–760 of 2605 papers

TitleStatusHype
Annotation-Free Curb Detection Leveraging Altitude Difference Image—0
GTransPDM: A Graph-embedded Transformer with Positional Decoupling for Pedestrian Crossing Intention Prediction—0
EEPNet: Efficient Edge Pixel-based Matching Network for Cross-Modal Dynamic Registration between LiDAR and Camera—0
Towards Event-Triggered NMPC for Efficient 6G Communications: Experimental Results and Open Problems—0
From One to the Power of Many: Invariance to Multi-LiDAR Perception from Single-Sensor Datasets—0
Analysis of a platooned car-following model with different inter-platoon communication levels—0
GSON: A Group-based Social Navigation Framework with Large Multimodal Model—0
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models—0
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles—0
Benchmarking Deep Learning Models for Object Detection on Edge Computing Devices—0
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Benchmark Results

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