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 311–320 of 2605 papers

TitleStatusHype
Enhancing Object Detection Accuracy in Autonomous Vehicles Using Synthetic Data—0
Physically Interpretable Probabilistic Domain Characterization—0
A Real-Time DETR Approach to Bangladesh Road Object Detection for Autonomous Vehicles—0
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications—0
Experimental comparison of graph-based approximate nearest neighbor search algorithms on edge devices—0
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous VehiclesCode0
A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles—0
Verification and Validation of Autonomous Systems—0
WHALES: A Multi-agent Scheduling Dataset for Enhanced Cooperation in Autonomous DrivingCode1
Zonal Architecture Development with evolution of Artificial Intelligence—0
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Benchmark Results

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