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 1411–1420 of 2605 papers

TitleStatusHype
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting—0
Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles—0
Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles—0
Camera-Radar Perception for Autonomous Vehicles and ADAS: Concepts, Datasets and Metrics—0
A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design—0
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection—0
Deep Occupancy-Predictive Representations for Autonomous Driving—0
R-TOSS: A Framework for Real-Time Object Detection using Semi-Structured Pruning—0
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems—0
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review—0
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Benchmark Results

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