SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle 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: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5451–5475 of 6092 papers

TitleStatusHype
AutoRemover: Automatic Object Removal for Autonomous Driving VideosCode0
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic SegmentationCode1
PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement—0
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving—0
Identifying Model Weakness with Adversarial Examiner—0
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit AffordancesCode0
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms—0
Looking at the right stuff: Guided semantic-gaze for autonomous driving—0
SCR-Graph: Spatial-Causal Relationships based Graph Reasoning Network for Human Action Prediction—0
Crowd Density Forecasting by Modeling Patch-based Dynamics—0
RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving—0
Decision Making for Autonomous Driving via Augmented Adversarial Inverse Reinforcement Learning—0
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models—0
NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving—0
Real-Time Semantic Segmentation via Multiply Spatial Fusion Network—0
Coverage Testing of Deep Learning Models using Dataset Characterization—0
Automated Augmentation with Reinforcement Learning and GANs for Robust Identification of Traffic Signs using Front Camera Images—0
VisionISP: Repurposing the Image Signal Processor for Computer Vision Applications—0
LiDAR ICPS-net: Indoor Camera Positioning based-on Generative Adversarial Network for RGB to Point-Cloud Translation—0
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine—0
Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network—0
Multi-Agent Connected Autonomous Driving using Deep Reinforcement LearningCode0
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network—0
Efficacy of Pixel-Level OOD Detection for Semantic Segmentation—0
Detecting Driveable Area for Autonomous Vehicles—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified