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 3401–3425 of 6092 papers

TitleStatusHype
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
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
QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied ContextsCode0
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
RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving—0
LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis—0
Towards Robust 3D Object Detection In Rainy Conditions—0
Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception—0
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model—0
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training—0
MMPI: a Flexible Radiance Field Representation by Multiple Multi-plane Images Blending—0
Deep Reinforcement Learning for Autonomous Vehicle Intersection Navigation—0
MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings—0
A Survey on Deep Learning Techniques for Action Anticipation—0
GSDC Transformer: An Efficient and Effective Cue Fusion for Monocular Multi-Frame Depth Estimation—0
BEVHeight++: Toward Robust Visual Centric 3D Object Detection—0
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection—0
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments—0
Superpixel Transformers for Efficient Semantic Segmentation—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