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 1901–1925 of 6092 papers

TitleStatusHype
VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers—0
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving—0
Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights—0
BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance—0
Shared Autonomy for Proximal Teaching—0
You Only Click Once: Single Point Weakly Supervised 3D Instance Segmentation for Autonomous Driving—0
EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving in the Arab Gulf RegionCode0
Learning Autonomy: Off-Road Navigation Enhanced by Human Input—0
VLM-E2E: Enhancing End-to-End Autonomous Driving with Multimodal Driver Attention Fusion—0
CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems—0
Easy-Poly: A Easy Polyhedral Framework For 3D Multi-Object Tracking—0
VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution—0
InVDriver: Intra-Instance Aware Vectorized Query-Based Autonomous Driving Transformer—0
GaussianFlowOcc: Sparse and Weakly Supervised Occupancy Estimation using Gaussian Splatting and Temporal Flow—0
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances—0
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving—0
AUKT: Adaptive Uncertainty-Guided Knowledge Transfer with Conformal Prediction—0
Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous DrivingCode0
A Brain-Inspired Perception-Decision Driving Model Based on Neural Pathway Anatomical Alignment—0
Enhancing Vehicle Make and Model Recognition with 3D Attention Modules—0
Para-Lane: Multi-Lane Dataset Registering Parallel Scans for Benchmarking Novel View Synthesis—0
PFSD: A Multi-Modal Pedestrian-Focus Scene Dataset for Rich Tasks in Semi-Structured EnvironmentsCode0
Aligning Task- and Reconstruction-Oriented Communications for Edge Intelligence—0
Q-PETR: Quant-aware Position Embedding Transformation for Multi-View 3D Object Detection—0
Depth-aware Fusion Method based on Image and 4D Radar Spectrum for 3D Object Detection—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