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 3001–3050 of 6092 papers

TitleStatusHype
A Lightweight Machine Learning Pipeline for LiDAR-simulation—0
A Lightweight Multi-Attack CAN Intrusion Detection System on Hybrid FPGAs—0
A lightweight YOLOv5-FFM model for occlusion pedestrian detection—0
Aligning Task- and Reconstruction-Oriented Communications for Edge Intelligence—0
All-optical image classification through unknown random diffusers using a single-pixel diffractive network—0
All-photon Polarimetric Time-of-Flight Imaging—0
ALN-P3: Unified Language Alignment for Perception, Prediction, and Planning in Autonomous Driving—0
A Low-cost and Ultra-lightweight Binary Neural Network for Traffic Signal Recognition—0
A Low-Cost Lane-Following Algorithm for Cyber-Physical Robots—0
AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking—0
A machine learning environment for evaluating autonomous driving software—0
A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT—0
A Machine Learning Smartphone-based Sensing for Driver Behavior Classification—0
Ambiguous Annotations: When is a Pedestrian not a Pedestrian?—0
A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos—0
A Method for the Runtime Validation of AI-based Environment Perception in Automated Driving System—0
A Methodological Review of Visual Road Recognition Procedures for Autonomous Driving Applications—0
A Methodology to Identify Cognition Gaps in Visual Recognition Applications Based on Convolutional Neural Networks—0
A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data—0
AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving—0
Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways—0
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving—0
A Multi-Layered Approach for Measuring the Simulation-to-Reality Gap of Radar Perception for Autonomous Driving—0
A Multimodal, Full-Surround Vehicular Testbed for Naturalistic Studies and Benchmarking: Design, Calibration and Deployment—0
A Multimodal Vision Sensor for Autonomous Driving—0
A Multi-model Approach for Video Data Retrieval in Autonomous Vehicle Development—0
A Multi-Stage Clustering Framework for Automotive Radar Data—0
An advanced YOLOv3 method for small object detection—0
An Adversarial Super-Resolution Remedy for Radar Design Trade-offs—0
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors—0
Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets—0
Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers—0
Analysis of Functional Insufficiencies and Triggering Conditions to Improve the SOTIF of an MPC-based Trajectory Planner—0
Analysis of Truncated Singular Value Decomposition for Koopman Operator-Based Lane Change Model—0
Analytical Safety Bounds for Trajectory Following Controllers in Autonomous Vehicles—0
Analyze Drivers' Intervention Behavior During Autonomous Driving -- A VR-incorporated Approach—0
Analyzing Accuracy Loss in Randomized Smoothing Defenses—0
Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset—0
Analyzing Computer Vision Data - The Good, the Bad and the Ugly—0
Analyzing Human Models that Adapt Online—0
Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction—0
Anchor-Based Spatio-Temporal Attention 3D Convolutional Networks for Dynamic 3D Point Cloud Sequences—0
Anchor Distance for 3D Multi-Object Distance Estimation from 2D Single Shot—0
A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation—0
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining—0
A Cooperative Perception System Robust to Localization Errors—0
An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving—0
An Efficient FPGA Accelerator for Point Cloud—0
An Efficient Generation Method based on Dynamic Curvature of the Reference Curve for Robust Trajectory Planning—0
An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training—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