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

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Showing 151–200 of 2605 papers

TitleStatusHype
Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions—0
ManeuverGPT Agentic Control for Safe Autonomous Stunt ManeuversCode0
Probabilistic Segmentation for Robust Field of View Estimation—0
ConcreTizer: Model Inversion Attack via Occupancy Classification and Dispersion Control for 3D Point Cloud Restoration—0
Sum-of-Squares Data-driven Robustly Stabilizing and Contracting Controller Synthesis for Polynomial Nonlinear Systems—0
Inverse Reinforcement Learning for Minimum-Exposure Paths in Spatiotemporally Varying Scalar Fields—0
Advancing Autonomous Vehicle Intelligence: Deep Learning and Multimodal LLM for Traffic Sign Recognition and Robust Lane Detection—0
Learning to Drive by Imitating Surrounding Vehicles—0
Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving—0
Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions—0
INTENT: Trajectory Prediction Framework with Intention-Guided Contrastive Clustering—0
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation—0
Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions—0
Navigating Intelligence: A Survey of Google OR-Tools and Machine Learning for Global Path Planning in Autonomous Vehicles—0
ecg2o: A Seamless Extension of g2o for Equality-Constrained Factor Graph OptimizationCode0
Human-AI Interaction Design Standards—0
Range and Angle Estimation with Spiking Neural Resonators for FMCW Radar—0
Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive LearningCode1
HiMo: High-Speed Objects Motion Compensation in Point Clouds—0
QDCNN: Quantum Deep Learning for Enhancing Safety and Reliability in Autonomous Transportation Systems—0
Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving—0
Constrained Generative Modeling with Manually Bridged Diffusion Models—0
Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights—0
RouteRL: Multi-agent reinforcement learning framework for urban route choice with autonomous vehiclesCode1
CoopDETR: A Unified Cooperative Perception Framework for 3D Detection via Object Query—0
Between Innovation and Oversight: A Cross-Regional Study of AI Risk Management Frameworks in the EU, U.S., UK, and China—0
Automatic Vehicle Detection using DETR: A Transformer-Based Approach for Navigating Treacherous Roads—0
CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems—0
A Real-time Spatio-Temporal Trajectory Planner for Autonomous Vehicles with Semantic Graph Optimization—0
IBURD: Image Blending for Underwater Robotic Detection—0
A Multi-Scale Isolation Forest Approach for Real-Time Detection and Filtering of FGSM Adversarial Attacks in Video Streams of Autonomous Vehicles—0
Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous DrivingCode0
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments—0
BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory PredictionCode0
Deep learning based infrared small object segmentation: Challenges and future directions—0
Building reliable sim driving agents by scaling self-playCode4
Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration—0
Multi-Objective Reinforcement Learning for Critical Scenario Generation of Autonomous Vehicles—0
Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attacks—0
Collaboration Between the City and Machine Learning Community is Crucial to Efficient Autonomous Vehicles Routing—0
AI Generations: From AI 1.0 to AI 4.0—0
Safe platooning control of connected and autonomous vehicles on curved multi-lane roads—0
V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models—0
Mind the Gaps: Logical English, Prolog, and Multi-agent Systems for Autonomous Vehicles—0
Deep Reinforcement Learning-Based User Scheduling for Collaborative Perception—0
AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception—0
Poly-Autoregressive Prediction for Modeling Interactions—0
Predictive Planner for Autonomous Driving with Consistency Models—0
Vision-Language Models for Edge Networks: A Comprehensive Survey—0
Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning—0
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Benchmark Results

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