SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 2605 papers

TitleStatusHype
Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios—0
Fast and Accurate Collision Probability Estimation for Autonomous Vehicles using Adaptive Sigma-Point Sampling—0
Robustifying 3D Perception through Least-Squares Multi-Agent Graphs Object Tracking—0
LLM-based Realistic Safety-Critical Driving Video Generation—0
A Survey on Vision-Language-Action Models for Autonomous DrivingCode4
Where, What, Why: Towards Explainable Driver Attention PredictionCode1
Coordinated Control of Autonomous Vehicles for Traffic Density Reduction at a Signalized Junction: An MPC Approach—0
Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement—0
AI Safety vs. AI Security: Demystifying the Distinction and Boundaries—0
Quantum Artificial Intelligence for Secure Autonomous Vehicle Navigation: An Architectural Proposal—0
BIDA: A Bi-level Interaction Decision-making Algorithm for Autonomous Vehicles in Dynamic Traffic Scenarios—0
Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles—0
Mixed Traffic: A Perspective from Long Duration Autonomy—0
Algorithmic Approaches to Enhance Safety in Autonomous Vehicles: Minimizing Lane Changes and Merging—0
Toward Safety-First Human-Like Decision Making for Autonomous Vehicles in Time-Varying Traffic Flow—0
Iterative Camera-LiDAR Extrinsic Optimization via Surrogate DiffusionCode0
Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning—0
Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications—0
On the Natural Robustness of Vision-Language Models Against Visual Perception Attacks in Autonomous Driving—0
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario AnalysisCode2
A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications—0
Towards Responsible AI: Advances in Safety, Fairness, and Accountability of Autonomous Systems—0
SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map ConstructionCode1
DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning—0
Adaptive Event-triggered Formation Control of Autonomous Vehicles—0
DriveAction: A Benchmark for Exploring Human-like Driving Decisions in VLA Models—0
STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous DrivingCode1
Robust sensor fusion against on-vehicle sensor staleness—0
Edge-Enabled Collaborative Object Detection for Real-Time Multi-Vehicle PerceptionCode0
Securing Traffic Sign Recognition Systems in Autonomous Vehicles—0
Towards provable probabilistic safety for scalable embodied AI systems—0
Fool the Stoplight: Realistic Adversarial Patch Attacks on Traffic Light DetectorsCode0
Pseudo-Simulation for Autonomous DrivingCode4
How stealthy is stealthy? Studying the Efficacy of Black-Box Adversarial Attacks in the Real World—0
High-gain MIMO Beamforming Antenna System for DSRC and mmwave 5G Integration in Autonomous Vehicles—0
Integrated Sensing, Computing and Semantic Communication for Vehicular Networks—0
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation—0
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats—0
Task-Driven Implicit Representations for Automated Design of LiDAR Systems—0
Human-Centered Human-AI Collaboration (HCHAC)—0
RefAV: Towards Planning-Centric Scenario MiningCode1
InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information TheoryCode0
Large Language Models in Code Co-generation for Safe Autonomous Vehicles—0
Emergence of Hebbian Dynamics in Regularized Non-Local Learners—0
AdvReal: Adversarial Patch Generation Framework with Application to Adversarial Safety Evaluation of Object Detection SystemsCode1
Human-like Semantic Navigation for Autonomous Driving using Knowledge Representation and Large Language Models—0
Chirp Delay-Doppler Domain Modulation: A New Paradigm of Integrated Sensing and Communication for Autonomous VehiclesCode1
Neuromorphic Mimicry Attacks Exploiting Brain-Inspired Computing for Covert Cyber Intrusions—0
Objective Bicycle Occlusion Level Classification using a Deformable Parts-Based ModelCode0
Integration of TinyML and LargeML: A Survey of 6G and Beyond—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified