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 626–650 of 6092 papers

TitleStatusHype
Synth It Like KITTI: Synthetic Data Generation for Object Detection in Driving ScenariosCode0
ODVerse33: Is the New YOLO Version Always Better? A Multi Domain benchmark from YOLO v5 to v11—0
OrchardDepth: Precise Metric Depth Estimation of Orchard Scene from Monocular Camera Images—0
Learning Temporal 3D Semantic Scene Completion via Optical Flow Guidance—0
AVD2: Accident Video Diffusion for Accident Video Description—0
OG-Gaussian: Occupancy Based Street Gaussians for Autonomous Driving—0
RendBEV: Semantic Novel View Synthesis for Self-Supervised Bird's Eye View Segmentation—0
CrossFuse: Learning Infrared and Visible Image Fusion by Cross-Sensor Top-K Vision Alignment and Beyond—0
Reliable Explainability of Deep Learning Spatial-Spectral Classifiers for Improved Semantic Segmentation in Autonomous Driving—0
Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning—0
SegRet: An Efficient Design for Semantic Segmentation with Retentive NetworkCode0
MEX: Memory-efficient Approach to Referring Multi-Object Tracking—0
Activation-wise Propagation: A Universal Strategy to Break Timestep Constraints in Spiking Neural Networks for 3D Data Processing—0
RadSplatter: Extending 3D Gaussian Splatting to Radio Frequencies for Wireless Radiomap Extrapolation—0
Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization—0
RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning—0
Fragility-aware Classification for Understanding Risk and Improving Generalization—0
CoDiff: Conditional Diffusion Model for Collaborative 3D Object DetectionCode1
MaskGWM: A Generalizable Driving World Model with Video Mask ReconstructionCode3
A Framework for Learning Scoring Rules in Autonomous Driving Planning Systems—0
PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies—0
NPSim: Nighttime Photorealistic Simulation From Daytime Images With Monocular Inverse Rendering and Ray Tracing—0
Adaptive Neural Networks for Intelligent Data-Driven Development—0
The Role of World Models in Shaping Autonomous Driving: A Comprehensive SurveyCode5
V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models—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