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 971–980 of 2605 papers

TitleStatusHype
FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network—0
Estimating Pedestrian Moving State Based on Single 2D Body Pose—0
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision—0
Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout—0
Angle of Arrival Estimation with Transformer: A Sparse and Gridless Method with Zero-Shot Capability—0
ε^*+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehicles—0
Fast Synthetic LiDAR Rendering via Spherical UV Unwrapping of Equirectangular Z-Buffer Images—0
Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework—0
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds—0
DyTTP: Trajectory Prediction with Normalization-Free Transformers—0
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Benchmark Results

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