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 1101–1125 of 2605 papers

TitleStatusHype
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats—0
Backup Plan Constrained Model Predictive Control with Guaranteed Stability—0
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices—0
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception—0
A Discrete-time Dynamical Model for Optimal Dispatching and Rebalancing of Autonomous Mobility-on-Demand Systems—0
Dissonance Between Human and Machine Understanding—0
DISeR: Designing Imaging Systems with Reinforcement Learning—0
Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline—0
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations—0
Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving—0
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation—0
A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios—0
DISC: Dataset for Analyzing Driving Styles In Simulated Crashes for Mixed Autonomy—0
Directed-CP: Directed Collaborative Perception for Connected and Autonomous Vehicles via Proactive Attention—0
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation—0
Analyzing and Enhancing Queue Sampling for Energy-Efficient Remote Control of Bandits—0
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles—0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
3D Object Positioning Using Differentiable Multimodal Learning—0
Digital Twins and Testbeds for Supporting AI Research with Autonomous Vehicle Networks—0
Diffusion-Based Particle-DETR for BEV Perception—0
Autonomy and Unmanned Vehicles Augmented Reactive Mission-Motion Planning Architecture for Autonomous Vehicles—0
Analyze Drivers' Intervention Behavior During Autonomous Driving -- A VR-incorporated Approach—0
Diffusion-Based Environment-Aware Trajectory Prediction—0
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles—0
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Benchmark Results

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