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 1801–1850 of 6092 papers

TitleStatusHype
Explainable AI for Enhancing Efficiency of DL-based Channel Estimation—0
EdgeServe: A Streaming System for Decentralized Model Serving—0
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles—0
DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation—0
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation—0
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving—0
BEV-Locator: An End-to-end Visual Semantic Localization Network Using Multi-View Images—0
DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation—0
Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles—0
Effects of Explanation Specificity on Passengers in Autonomous Driving—0
Efficacy of Pixel-Level OOD Detection for Semantic Segmentation—0
Analysis of Functional Insufficiencies and Triggering Conditions to Improve the SOTIF of an MPC-based Trajectory Planner—0
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams—0
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection—0
DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving—0
Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers—0
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset—0
Efficient Context Integration through Factorized Pyramidal Learning for Ultra-Lightweight Semantic Segmentation—0
Efficient Deep Neural Networks—0
Efficient Driving Behavior Narration and Reasoning on Edge Device Using Large Language Models—0
Efficient Event-based Semantic Segmentation with Spike-driven Lightweight Transformer-based Networks—0
Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision—0
STDA: Spatio-Temporal Dual-Encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-Critical Scenarios—0
Efficient LiDAR Odometry for Autonomous Driving—0
Efficiently Troubleshooting Image Segmentation Models with Human-In-The-Loop—0
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles—0
Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving—0
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation—0
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models—0
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation—0
BEVHeight++: Toward Robust Visual Centric 3D Object Detection—0
Efficient On-Chip Implementation of 4D Radar-Based 3D Object Detection on Hailo-8L—0
DriveAction: A Benchmark for Exploring Human-like Driving Decisions in VLA Models—0
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents—0
Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets—0
Drive-1-to-3: Enriching Diffusion Priors for Novel View Synthesis of Real Vehicles—0
Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving—0
DreamDrive: Generative 4D Scene Modeling from Street View Images—0
Efficient Synthesis of Compact Deep Neural Networks—0
Efficient Video Understanding via Layered Multi Frame-Rate Analysis—0
Efficient Vision Transformer for Accurate Traffic Sign Detection—0
BEV-Guided Multi-Modality Fusion for Driving Perception—0
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors—0
EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction—0
EffLoc: Lightweight Vision Transformer for Efficient 6-DOF Camera Relocalization—0
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving—0
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving—0
EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation—0
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review—0
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine—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