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 2301–2325 of 2605 papers

TitleStatusHype
Automated Detecting and Placing Road Objects from Street-level Images—0
Inception-inspired LSTM for Next-frame Video PredictionCode0
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving—0
Stackelberg Punishment and Bully-Proofing Autonomous Vehicles—0
Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing—0
Cross-Enhancement Transform Two-Stream 3D ConvNets for Action Recognition—0
How far should self-driving cars see? Effect of observation range on vehicle self-localization—0
Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles—0
Image-Guided Depth Sampling and Reconstruction—0
Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components—0
Estimation of Tire-Road Friction for Road Vehicles: a Time Delay Neural Network Approach—0
Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random FieldsCode0
A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized NetworkCode0
Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant SystemsCode0
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and ClassificationCode0
SDNet: Semantically Guided Depth Estimation Network—0
Interpretable Classification of Time-Series Data using Efficient Enumerative Techniques—0
Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors—0
Temporally Consistent Horizon LinesCode0
Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory—0
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
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Benchmark Results

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