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 1901–1950 of 2605 papers

TitleStatusHype
Where Do You Go? Pedestrian Trajectory Prediction using Scene Features—0
WHITE PAPER: Protecting GNSS Against Intentional Interference—0
Why semantics matters: A deep study on semantic particle-filtering localization in a LiDAR semantic pole-map—0
Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning—0
Wireless Communication as an Information Sensor for Multi-agent Cooperative Perception: A Survey—0
Work-in-Progress: Traded Control Transfer for Managing Real-Time Sensor Uncertainties in Autonomous Vehicle—0
Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions—0
Zero-Day Botnet Attack Detection in IoV: A Modular Approach Using Isolation Forests and Particle Swarm Optimization—0
Zero-Error Tracking for Autonomous Vehicles through Epsilon-Trajectory Generation—0
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control—0
Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review—0
Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles—0
Zonal Architecture Development with evolution of Artificial Intelligence—0
Multi-Objective Reinforcement Learning for Critical Scenario Generation of Autonomous Vehicles—0
Multi-Objective Reinforcement Learning for Adaptive Personalized Autonomous Driving—0
Multi-Object Tracking using Poisson Multi-Bernoulli Mixture Filtering for Autonomous Vehicles—0
Analysis of a platooned car-following model with different inter-platoon communication levels—0
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors—0
Multi-Robot Routing with Time Windows: A Column Generation Approach—0
Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction—0
Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks—0
Multi-Stream Attention Learning for Monocular Vehicle Velocity and Inter-Vehicle Distance Estimation—0
Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data—0
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator—0
Multivariate Uncertainty in Deep Learning—0
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression—0
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving—0
Mutual Information Analysis in Multimodal Learning Systems—0
MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection—0
MVFAN: Multi-View Feature Assisted Network for 4D Radar Object Detection—0
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances—0
Navigating Intelligence: A Survey of Google OR-Tools and Machine Learning for Global Path Planning in Autonomous Vehicles—0
Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning—0
Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles—0
Navya3DSeg -- Navya 3D Semantic Segmentation Dataset & split generation for autonomous vehicles—0
N-DriverMotion: Driver motion learning and prediction using an event-based camera and directly trained spiking neural networks on Loihi 2—0
NDST: Neural Driving Style Transfer for Human-Like Vision-Based Autonomous Driving—0
NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization—0
Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains—0
Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study—0
Neural Error Covariance Estimation for Precise LiDAR Localization—0
Neural Map Prior for Autonomous Driving—0
Neural Network Based Model Predictive Control for an Autonomous Vehicle—0
Neural Semantic Map-Learning for Autonomous Vehicles—0
Neuroevolutionary Multi-objective approaches to Trajectory Prediction in Autonomous Vehicles—0
NeuroFlow: Development of lightweight and efficient model integration scheduling strategy for autonomous driving system—0
Neuromorphic Computing is Turing-Complete—0
Neuromorphic Mimicry Attacks Exploiting Brain-Inspired Computing for Covert Cyber Intrusions—0
Next Wave Artificial Intelligence: Robust, Explainable, Adaptable, Ethical, and Accountable—0
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles—0
Show:102550
← PrevPage 39 of 53Next →

Benchmark Results

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