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 1611–1620 of 2605 papers

TitleStatusHype
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation—0
Robust Glare Detection: Review, Analysis, and Dataset ReleaseCode0
The Mirrornet : Learning Audio Synthesizer Controls Inspired by Sensorimotor Interaction—0
M2GAN: A Multi-Stage Self-Attention Network for Image Rain Removal on Autonomous Vehicles—0
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDARCode1
UnfairGAN: An Enhanced Generative Adversarial Network for Raindrop Removal from A Single Image—0
Autonomous Racing using a Hybrid Imitation-Reinforcement Learning ArchitectureCode1
Semantic Image Alignment for Vehicle Localization—0
How to Build a Curb Dataset with LiDAR Data for Autonomous Driving—0
Benchmarking Safety Monitors for Image Classifiers with Machine LearningCode0
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Benchmark Results

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