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 2551–2575 of 6092 papers

TitleStatusHype
HeightFormer: A Multilevel Interaction and Image-adaptive Classification-regression Network for Monocular Height Estimation with Aerial Images—0
GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection—0
Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles—0
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving ResearchCode3
NSM4D: Neural Scene Model Based Online 4D Point Cloud Sequence Understanding—0
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
Performance/power assessment of CNN packages on embedded automotive platforms—0
DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion modelCode2
CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous DrivingCode3
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous DrivingCode1
Optimizing the Placement of Roadside LiDARs for Autonomous Driving—0
Safe-by-Construction Autonomous Vehicle Overtaking using Control Barrier Functions and Model Predictive Control—0
TopoMLP: A Simple yet Strong Pipeline for Driving Topology ReasoningCode2
Layout Sequence Prediction From Noisy Mobile Modality—0
Joint object detection and re-identification for 3D obstacle multi-camera systems—0
HarmonicNeRF: Geometry-Informed Synthetic View Augmentation for 3D Scene Reconstruction in Driving ScenariosCode0
DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather DataCode0
QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied ContextsCode0
Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation—0
Combining UPerNet and ConvNeXt for Contrails Identification to reduce Global WarmingCode0
DiffPrompter: Differentiable Implicit Visual Prompts for Semantic-Segmentation in Adverse Conditions—0
V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges—0
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving—0
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous DrivingCode1
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous DrivingCode2
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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