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 1476–1500 of 6092 papers

TitleStatusHype
3D Gaussian Splatting for Fine-Detailed Surface Reconstruction in Large-Scale Scene—0
AI-based Multimodal Biometrics for Detecting Smartphone Distractions: Application to Online Learning—0
DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy—0
Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles—0
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems—0
KDMOS:Knowledge Distillation for Motion SegmentationCode0
Cross-Modal Geometric Hierarchy Fusion: An Implicit-Submap Driven Framework for Resilient 3D Place Recognition—0
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment—0
ADRD: LLM-Driven Autonomous Driving Based on Rule-based Decision Systems—0
Toward Safety-First Human-Like Decision Making for Autonomous Vehicles in Time-Varying Traffic Flow—0
RelTopo: Enhancing Relational Modeling for Driving Scene Topology Reasoning—0
FindMeIfYouCan: Bringing Open Set metrics to near , far and farther Out-of-Distribution Object Detection—0
A Survey on World Models Grounded in Acoustic Physical InformationCode0
STAGE: A Stream-Centric Generative World Model for Long-Horizon Driving-Scene Simulation—0
X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability—0
Bridging Data-Driven and Physics-Based Models: A Consensus Multi-Model Kalman Filter for Robust Vehicle State Estimation—0
FocalAD: Local Motion Planning for End-to-End Autonomous Driving—0
On the Natural Robustness of Vision-Language Models Against Visual Perception Attacks in Autonomous Driving—0
Teleoperated Driving: a New Challenge for 3D Object Detection in Compressed Point Clouds—0
GraphGSOcc: Semantic-Geometric Graph Transformer with Dynamic-Static Decoupling for 3D Gaussian Splatting-based Occupancy Prediction—0
Vision-based Lifting of 2D Object Detections for Automated Driving—0
Poutine: Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End-to-End Autonomous Driving—0
LRSLAM: Low-rank Representation of Signed Distance Fields in Dense Visual SLAM System—0
Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving—0
DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos—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