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 1351–1375 of 2605 papers

TitleStatusHype
A machine learning environment for evaluating autonomous driving software—0
A Multiclass Simulation-Based Dynamic Traffic Assignment Model for Mixed Traffic Flow of Connected and Autonomous Vehicles and Human-Driven Vehicles—0
A Multicriteria Decision Making Approach to Study the Barriers to the Adoption of Autonomous Vehicles—0
A Multi-Modal States based Vehicle Descriptor and Dilated Convolutional Social Pooling for Vehicle Trajectory Prediction—0
A Multi-Scale Isolation Forest Approach for Real-Time Detection and Filtering of FGSM Adversarial Attacks in Video Streams of Autonomous Vehicles—0
A Multi-Stage Goal-Driven Network for Pedestrian Trajectory Prediction—0
A Multi-Task Oriented Semantic Communication Framework for Autonomous Vehicles—0
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation—0
An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets—0
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation—0
Analysis and Control of Autonomous Mobility-on-Demand Systems—0
Active Learning of Driving Scenario Trajectories—0
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?—0
Analysis over vision-based models for pedestrian action anticipation—0
Analytical Safety Bounds for Trajectory Following Controllers in Autonomous Vehicles—0
Analyze Drivers' Intervention Behavior During Autonomous Driving -- A VR-incorporated Approach—0
Analyzing and Enhancing Queue Sampling for Energy-Efficient Remote Control of Bandits—0
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations—0
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception—0
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning—0
An Approximate Dynamic Programming Approach to Vehicle Platooning Coordination in Networks—0
A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation—0
An Empirical Analysis of Range for 3D Object Detection—0
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles—0
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images—0
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Benchmark Results

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