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 2321–2330 of 2605 papers

TitleStatusHype
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to NightCode0
Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach—0
EnforceNet: Monocular Camera Localization in Large Scale Indoor Sparse LiDAR Point Cloud—0
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving—0
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning—0
Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR—0
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems—0
Diverse Trajectory Forecasting with Determinantal Point Processes—0
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles—0
Estimating Pedestrian Moving State Based on Single 2D Body Pose—0
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Benchmark Results

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