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 551–575 of 2605 papers

TitleStatusHype
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility—0
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction—0
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving—0
Critical Example Mining for Vehicle Trajectory Prediction using Flow-based Generative Models—0
Cross Dataset Analysis and Network Architecture Repair for Autonomous Car Lane Detection—0
An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles—0
Bootstrapping confidence in future safety based on past safe operation—0
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap—0
An Integrated Ride-Matching Model for Shared Mobility on Demand Services—0
Advantage Alignment Algorithms—0
3D Point Cloud Processing and Learning for Autonomous Driving—0
Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation—0
Blending Data-Driven Priors in Dynamic Games—0
An Indian Roads Dataset for Supported and Suspended Traffic Lights Detection—0
Black-box Adversarial Attacks in Autonomous Vehicle Technology—0
An Image-based Approach of Task-driven Driving Scene Categorization—0
CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions—0
Angle of Arrival Estimation with Transformer: A Sparse and Gridless Method with Zero-Shot Capability—0
Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks—0
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model—0
An Experimental Study of NOMA for Connected Autonomous Vehicles—0
Advancing Autonomous Vehicle Intelligence: Deep Learning and Multimodal LLM for Traffic Sign Recognition and Robust Lane Detection—0
Bi-directional Loop Closure for Visual SLAM—0
BIDA: A Bi-level Interaction Decision-making Algorithm for Autonomous Vehicles in Dynamic Traffic Scenarios—0
A new platooning model for connected and autonomous vehicles to improve string stability—0
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Benchmark Results

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