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

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Showing 221–230 of 2605 papers

TitleStatusHype
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous VehiclesCode0
The Components of Collaborative Joint Perception and Prediction -- A Conceptual Framework—0
Hybrid Quantum-Classical Multi-Agent Pathfinding—0
TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing FlowsCode0
LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing—0
MCRL4OR: Multimodal Contrastive Representation Learning for Off-Road Environmental PerceptionCode0
Scalable and Interpretable Verification of Image-based Neural Network Controllers for Autonomous Vehicles—0
Where Do You Go? Pedestrian Trajectory Prediction using Scene Features—0
SMART-Vision: Survey of Modern Action Recognition Techniques in Vision—0
Interaction Dataset of Autonomous Vehicles with Traffic Lights and Signs—0
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Benchmark Results

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