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 341350 of 2605 papers

TitleStatusHype
Energy-Aware Predictive Motion Planning for Autonomous Vehicles Using a Hybrid Zonotope Constraint Representation0
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object DetectionCode1
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey0
Radiance Field Delta Video Compression in Edge-Enabled Vehicular MetaverseCode0
Uncertainty Estimation for 3D Object Detection via Evidential Learning0
An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap FusionCode1
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative LayersCode0
Democratizing Reward Design for Personal and Representative Value-Alignment0
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
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Benchmark Results

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