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 1101–1125 of 6092 papers

TitleStatusHype
MAROON: A Framework for the Joint Characterization of Near-Field High-Resolution Radar and Optical Depth Imaging Techniques—0
HopTrack: A Real-time Multi-Object Tracking System for Embedded DevicesCode0
On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDARCode2
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling—0
Optical Lens Attack on Monocular Depth Estimation for Autonomous Driving—0
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement LearningCode0
AIDOVECL: AI-generated Dataset of Outpainted Vehicles for Eye-level Classification and LocalizationCode0
Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map—0
Low-Density 3D Point Cloud Classification—0
SoftCTRL: Soft conservative KL-control of Transformer Reinforcement Learning for Autonomous Driving—0
EMMA: End-to-End Multimodal Model for Autonomous Driving—0
Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets—0
YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems—0
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving—0
Enhancing Autonomous Driving Safety Analysis with Generative AI: A Comparative Study on Automated Hazard and Risk Assessment—0
Self-Driving Car Racing: Application of Deep Reinforcement Learning—0
OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction—0
Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Driving—0
Hyperspectral Imaging-Based Perception in Autonomous Driving Scenarios: Benchmarking Baseline Semantic Segmentation ModelsCode0
An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap FusionCode1
Senna: Bridging Large Vision-Language Models and End-to-End Autonomous DrivingCode4
SS3DM: Benchmarking Street-View Surface Reconstruction with a Synthetic 3D Mesh Dataset—0
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial ApplicationsCode0
SparseTem: Boosting the Efficiency of CNN-Based Video Encoders by Exploiting Temporal Continuity—0
BEVPose: Unveiling Scene Semantics through Pose-Guided Multi-Modal BEV Alignment—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