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 2326–2350 of 6092 papers

TitleStatusHype
Autonomous driving of trucks in off-road environment—0
A Computer Vision Approach for Autonomous Cars to Drive Safe at Construction Zone—0
Autonomous Driving in the Lung using Deep Learning for Localization—0
A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges—0
Deep Radar Inverse Sensor Models for Dynamic Occupancy Grid Maps—0
Autonomous Driving in Reality with Reinforcement Learning and Image Translation—0
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving—0
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving—0
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps—0
Deep Q-Network Based Decision Making for Autonomous Driving—0
Deep Point Set Resampling via Gradient Fields—0
AI-CDA4All: Democratizing Cooperative Autonomous Driving for All Drivers via Affordable Dash-cam Hardware and Open-source AI Software—0
Deep Planar Parallax for Monocular Depth Estimation—0
Deep Occupancy-Predictive Representations for Autonomous Driving—0
Autonomous Driving Data Chain & Interfaces—0
AI-based Multimodal Biometrics for Detecting Smartphone Distractions: Application to Online Learning—0
Deep Object-Centric Policies for Autonomous Driving—0
Deep Neural Networks with Koopman Operators for Modeling and Control of Autonomous Vehicles—0
Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network—0
Deep Neural Networks for Computational Optical Form Measurements—0
Deep Neural Networks and PIDE discretizations—0
Autonomous Driving and Residential Location Preferences: Evidence from a Stated Choice Survey—0
Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge—0
Deep Neural Network Perception Models and Robust Autonomous Driving Systems—0
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention—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