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 201–225 of 6092 papers

TitleStatusHype
Programmatic Video Prediction Using Large Language ModelsCode0
MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models—0
InstanceBEV: Unifying Instance and BEV Representation for Global Modeling—0
SuperMapNet for Long-Range and High-Accuracy Vectorized HD Map Construction—0
Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving—0
Neurosymbolic Diffusion ModelsCode2
VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection—0
DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection—0
TS-VLM: Text-Guided SoftSort Pooling for Vision-Language Models in Multi-View Driving Reasoning—0
Distributional Soft Actor-Critic with Harmonic Gradient for Safe and Efficient Autonomous Driving in Multi-lane Scenarios—0
Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions—0
A Survey of Attacks on Large Language Models—0
SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving—0
Road Segmentation for ADAS/AD Applications—0
Always Clear Depth: Robust Monocular Depth Estimation under Adverse WeatherCode1
FIGhost: Fluorescent Ink-based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition—0
Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions—0
LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios—0
Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow—0
Control Invariant Sets for Neural Network Dynamical Systems and Recursive Feasibility in Model Predictive Control—0
Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps—0
Inferring Driving Maps by Deep Learning-based Trail Map Extraction—0
Application of YOLOv8 in monocular downward multiple Car Target detection—0
Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G NetworksCode1
GaussianFormer3D: Multi-Modal Gaussian-based Semantic Occupancy Prediction with 3D Deformable Attention—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