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

Showing 711720 of 2605 papers

TitleStatusHype
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey0
Energy-Aware Predictive Motion Planning for Autonomous Vehicles Using a Hybrid Zonotope Constraint Representation0
Radiance Field Delta Video Compression in Edge-Enabled Vehicular MetaverseCode0
Uncertainty Estimation for 3D Object Detection via Evidential Learning0
Democratizing Reward Design for Personal and Representative Value-Alignment0
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative LayersCode0
TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors0
AI-Driven Scenarios for Urban Mobility: Quantifying the Role of ODE Models and Scenario Planning in Reducing Traffic Congestion0
Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles0
Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System through Distributed Database and Multimodal Perception: Demonstrated in CrossroadsCode0
Show:102550
← PrevPage 72 of 261Next →

Benchmark Results

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