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 741–750 of 2605 papers

TitleStatusHype
Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM—0
Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava—0
Channel-Aware Throughput Maximization for Cooperative Data Fusion in CAV—0
Lane Detection System for Driver Assistance in Vehicles—0
Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object Detection by Bridging Domain Gaps—0
Learning from the Giants: A Practical Approach to Underwater Depth and Surface Normals Estimation—0
Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks—0
GERA: Geometric Embedding for Efficient Point Registration Analysis—0
Precise Ranging: Modeling Bias and Variance of Double-Sided Two-Way Ranging with TDoA Extraction under Multipath and NLOS Effects—0
Annotation-Free Curb Detection Leveraging Altitude Difference Image—0
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Benchmark Results

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