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

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Showing 401–450 of 6092 papers

TitleStatusHype
DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-ResolutionCode2
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language ModelsCode2
SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance FieldsCode2
SECOND: Sparsely Embedded Convolutional DetectionCode2
FocalFormer3D : Focusing on Hard Instance for 3D Object DetectionCode2
SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point CloudCode2
FocalFormer3D: Focusing on Hard Instance for 3D Object DetectionCode2
A Simple and Model-Free Path Filtering Algorithm for Smoothing and AccuracyCode2
FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud MapsCode2
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of VehiclesCode2
A real-time dynamic obstacle tracking and mapping system for UAV navigation and collision avoidance with an RGB-D cameraCode2
Fisheye-Calib-Adapter: An Easy Tool for Fisheye Camera Model ConversionCode2
Sparse4D v3: Advancing End-to-End 3D Detection and TrackingCode2
A Simple Framework for 3D Occupancy Estimation in Autonomous DrivingCode2
A Review of Safe Reinforcement Learning: Methods, Theory and ApplicationsCode2
CaRL: Learning Scalable Planning Policies with Simple RewardsCode2
FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height PluginCode2
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario AnalysisCode2
HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single DecoderCode2
Drive Like a Human: Rethinking Autonomous Driving with Large Language ModelsCode2
DriveLMM-o1: A Step-by-Step Reasoning Dataset and Large Multimodal Model for Driving Scenario UnderstandingCode2
DriveMLLM: A Benchmark for Spatial Understanding with Multimodal Large Language Models in Autonomous DrivingCode2
LightLoc: Learning Outdoor LiDAR Localization at Light SpeedCode2
Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous DrivingCode2
ADAPT: Action-aware Driving Caption TransformerCode2
DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion modelCode2
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language ModelCode2
FADet: A Multi-sensor 3D Object Detection Network based on Local Featured AttentionCode1
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene ReconstructionCode1
Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous DrivingCode1
Fast Kernel Scene FlowCode1
Exploring Simple 3D Multi-Object Tracking for Autonomous DrivingCode1
Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking with TransformerCode1
Exploring Map-based Features for Efficient Attention-based Vehicle Motion PredictionCode1
Ad-datasets: a meta-collection of data sets for autonomous drivingCode1
Exploring Navigation Maps for Learning-Based Motion PredictionCode1
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud AttacksCode1
FastMap: Fast Queries Initialization Based Vectorized HD Map Reconstruction FrameworkCode1
Explaining Autonomous Driving Actions with Visual Question AnsweringCode1
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic SegmentationCode1
Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile RobotsCode1
Asynchronous Blob Tracker for Event CamerasCode1
Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local ExplanationsCode1
Exploring Attention GAN for Vehicle Motion PredictionCode1
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch AttacksCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory PredictionCode1
A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer towards Autonomous DrivingCode1
1st Place Solution for PVUW Challenge 2023: Video Panoptic SegmentationCode1
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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