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 526–550 of 2605 papers

TitleStatusHype
Evaluating Global Geo-alignment for Precision Learned Autonomous Vehicle Localization using Aerial Data—0
Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward ProfilesCode0
GAN-Based Single-Stage Defense for Traffic Sign Classification Under Adversarial Patch Attack—0
Understanding Driver Cognition and Decision-Making Behaviors in High-Risk Scenarios: A Drift Diffusion Perspective—0
Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles with Discrete Gear SelectionCode0
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles—0
HeightFormer: Learning Height Prediction in Voxel Features for Roadside Vision Centric 3D Object Detection via Transformer—0
V2X-ReaLO: An Open Online Framework and Dataset for Cooperative Perception in Reality—0
Graph-Grounded LLMs: Leveraging Graphical Function Calling to Minimize LLM Hallucinations—0
ManeuverGPT Agentic Control for Safe Autonomous Stunt ManeuversCode0
Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions—0
Probabilistic Segmentation for Robust Field of View Estimation—0
Sum-of-Squares Data-driven Robustly Stabilizing and Contracting Controller Synthesis for Polynomial Nonlinear Systems—0
ConcreTizer: Model Inversion Attack via Occupancy Classification and Dispersion Control for 3D Point Cloud Restoration—0
Inverse Reinforcement Learning for Minimum-Exposure Paths in Spatiotemporally Varying Scalar Fields—0
Learning to Drive by Imitating Surrounding Vehicles—0
Advancing Autonomous Vehicle Intelligence: Deep Learning and Multimodal LLM for Traffic Sign Recognition and Robust Lane Detection—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
Navigating Intelligence: A Survey of Google OR-Tools and Machine Learning for Global Path Planning in Autonomous Vehicles—0
Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions—0
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation—0
ecg2o: A Seamless Extension of g2o for Equality-Constrained Factor Graph OptimizationCode0
Range and Angle Estimation with Spiking Neural Resonators for FMCW Radar—0
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Benchmark Results

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