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

Showing 6170 of 2605 papers

TitleStatusHype
Learning Value of Information towards Joint Communication and Control in 6G V2X0
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A SurveyCode0
Investigating Robotaxi Crash Severity Using Geographical Random Forest0
A Survey on Data-Driven Modeling of Human Drivers' Lane-Changing Decisions0
AI-Powered Anomaly Detection with Blockchain for Real-Time Security and Reliability in Autonomous Vehicles0
Handling Pedestrian Uncertainty in Coordinating Autonomous Vehicles at Signal-Free Intersections0
Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks0
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) DecisionsCode0
Camera-Only Bird's Eye View Perception: A Neural Approach to LiDAR-Free Environmental Mapping for Autonomous Vehicles0
Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State PerturbationCode0
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Benchmark Results

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