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 1026–1050 of 2605 papers

TitleStatusHype
HoloVIC: Large-scale Dataset and Benchmark for Multi-Sensor Holographic Intersection and Vehicle-Infrastructure Cooperative—0
Cooperative and Interaction-aware Driver Model for Lane Change Maneuver—0
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks—0
Region-Transformer: Self-Attention Region Based Class-Agnostic Point Cloud Segmentation—0
Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change—0
Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems—0
Automatic driving lane change safety prediction model based on LSTM—0
Highway Discretionary Lane-change Decision and Control Using Model Predictive Control—0
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data—0
Autonomous Vehicles: Evolution of Artificial Intelligence and Learning Algorithms—0
Active propulsion noise shaping for multi-rotor aircraft localizationCode0
Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving—0
Cooperation and Control in Delegation Games—0
Exploring the Influence of Driving Context on Lateral Driving Style Preferences: A Simulator-Based Study—0
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving—0
Blending Data-Driven Priors in Dynamic Games—0
Hybrid Reasoning Based on Large Language Models for Autonomous Car DrivingCode0
Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning—0
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness—0
Self-Perception Versus Objective Driving Behavior: Subject Study of Lateral Vehicle Guidance—0
PIP-Net: Pedestrian Intention Prediction in the Wild—0
3D high-resolution imaging algorithm using 1D MIMO array for autonomous driving application—0
A novel framework for adaptive stress testing of autonomous vehicles in highways—0
Vehicle-group-based Crash Risk Prediction and Interpretation on Highways—0
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications—0
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Benchmark Results

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