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 851–875 of 2605 papers

TitleStatusHype
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery—0
An LSTM Network for Highway Trajectory Prediction—0
Efficient Fully Distributed Federated Learning with Adaptive Local Links—0
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula—0
Efficient falsification approach for autonomous vehicle validation using a parameter optimisation technique based on reinforcement learning—0
Bridging the Gap between Optimal Trajectory Planning and Safety-Critical Control with Applications to Autonomous Vehicles—0
Emerging AI Security Threats for Autonomous Cars -- Case Studies—0
Empowering Autonomous Driving with Large Language Models: A Safety Perspective—0
Efficient algorithms for electric vehicles' min-max routing problem—0
Encoding Motion Primitives for Autonomous Vehicles using Virtual Velocity Constraints and Neural Network Scheduling—0
Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics—0
End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies—0
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility—0
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction—0
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications—0
End-to-End Lidar-Camera Self-Calibration for Autonomous Vehicles—0
Predictive Planner for Autonomous Driving with Consistency Models—0
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning—0
End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning—0
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering—0
Enabling 3D Object Detection with a Low-Resolution LiDAR—0
Efficient Adversarial Input Generation via Neural Net Patching—0
Energy-Based Models for Cross-Modal Localization using Convolutional Transformers—0
Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model—0
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic—0
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Benchmark Results

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