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 1861–1870 of 2605 papers

TitleStatusHype
Real-time Monocular Depth Estimation with Sparse Supervision on Mobile—0
V2V Spatiotemporal Interactive Pattern Recognition and Risk Analysis in Lane Changes—0
A Review of Autonomous Road Vehicle Integrated Approaches to an Emergency Obstacle Avoidance Maneuver—0
Scalable Multirobot Planning for Informed Spatial Sampling—0
High-Performance FPGA-based Accelerator for Bayesian Neural Networks—0
HAPS-ITS: Enabling Future ITS Services in Trans-Continental Highways—0
Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment—0
Safety of the Intended Driving Behavior Using Rulebooks—0
Learning Image Attacks toward Vision Guided Autonomous Vehicles—0
Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices—0
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Benchmark Results

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