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 651660 of 2605 papers

TitleStatusHype
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology0
MM-Gaussian: 3D Gaussian-based Multi-modal Fusion for Localization and Reconstruction in Unbounded Scenes0
Quantifying Uncertainty in Motion Prediction with Variational Bayesian MixtureCode0
Optimizing traffic signs and lights visibility for the teleoperation of autonomous vehicles through ROI compression0
DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object DetectionCode2
Boosting Visual Recognition in Real-world Degradations via Unsupervised Feature Enhancement Module with Deep Channel PriorCode0
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation0
Digital Twins and Testbeds for Supporting AI Research with Autonomous Vehicle Networks0
The Radar Ghost Dataset -- An Evaluation of Ghost Objects in Automotive Radar DataCode1
SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks0
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Benchmark Results

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