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 471–480 of 2605 papers

TitleStatusHype
On the Design of Resilient Distributed Single Time-Scale Estimators: A Graph-Theoretic Approach—0
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models—0
Safe and Efficient CAV Lane Changing using Decentralised Safety Shields—0
Wireless Communication as an Information Sensor for Multi-agent Cooperative Perception: A Survey—0
The ATLAS of Traffic Lights: A Reliable Perception Framework for Autonomous Driving—0
Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework—0
Socially-Aware Autonomous Driving: Inferring Yielding Intentions for Safer Interactions—0
Zero-Day Botnet Attack Detection in IoV: A Modular Approach Using Isolation Forests and Particle Swarm Optimization—0
Federated Learning-based Semantic Segmentation for Lane and Object Detection in Autonomous Driving—0
Opportunistic Collaborative Planning with Large Vision Model Guided Control and Joint Query-Service Optimization—0
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Benchmark Results

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