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 1726–1750 of 6092 papers

TitleStatusHype
Driving-RAG: Driving Scenarios Embedding, Search, and RAG Applications—0
Data Scaling Laws for End-to-End Autonomous Driving—0
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning—0
EMF: Event Meta Formers for Event-based Real-time Traffic Object Detection—0
Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications—0
PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector—0
ZFusion: An Effective Fuser of Camera and 4D Radar for 3D Object Perception in Autonomous Driving—0
NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving—0
MinkOcc: Towards real-time label-efficient semantic occupancy prediction—0
CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous DrivingCode0
Enhancing Traffic Sign Recognition On The Performance Based On Yolov8—0
DF-Calib: Targetless LiDAR-Camera Calibration via Depth Flow—0
GaussianLSS -- Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting—0
Deep LG-Track: An Enhanced Localization-Confidence-Guided Multi-Object Tracker—0
On Simulation-Guided LLM-based Code Generation for Safe Autonomous Driving Software—0
Overlap-Aware Feature Learning for Robust Unsupervised Domain Adaptation for 3D Semantic Segmentation—0
UnIRe: Unsupervised Instance Decomposition for Dynamic Urban Scene Reconstruction—0
MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving—0
NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds—0
GLane3D : Detecting Lanes with Graph of 3D Keypoints—0
4D mmWave Radar in Adverse Environments for Autonomous Driving: A Survey—0
STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?—0
DenseFormer: Learning Dense Depth Map from Sparse Depth and Image via Conditional Diffusion Model—0
A Concise Survey on Lane Topology Reasoning for HD Mapping—0
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective—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