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 451460 of 2605 papers

TitleStatusHype
Investigating Robotaxi Crash Severity Using Geographical Random Forest0
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A SurveyCode0
AI-Powered Anomaly Detection with Blockchain for Real-Time Security and Reliability in Autonomous Vehicles0
A Survey on Data-Driven Modeling of Human Drivers' Lane-Changing Decisions0
Handling Pedestrian Uncertainty in Coordinating Autonomous Vehicles at Signal-Free Intersections0
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
Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks0
Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State PerturbationCode0
Multi-Objective Reinforcement Learning for Adaptive Personalized Autonomous Driving0
Show:102550
← PrevPage 46 of 261Next →

Benchmark Results

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