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 871–880 of 2605 papers

TitleStatusHype
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications—0
Enabling 3D Object Detection with a Low-Resolution LiDAR—0
Energy-Based Models for Cross-Modal Localization using Convolutional Transformers—0
Efficient Adversarial Input Generation via Neural Net Patching—0
Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation—0
ENet-21: An Optimized light CNN Structure for Lane Detection—0
EnforceNet: Monocular Camera Localization in Large Scale Indoor Sparse LiDAR Point Cloud—0
Enhanced Cooperative Perception for Autonomous Vehicles Using Imperfect Communication—0
Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model—0
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic—0
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Benchmark Results

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