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 1371–1380 of 2605 papers

TitleStatusHype
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey—0
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout—0
Cyber Security in Smart Manufacturing (Threats, Landscapes Challenges)—0
Perception Imitation: Towards Synthesis-free Simulator for Autonomous Vehicles—0
Neural Map Prior for Autonomous Driving—0
Survey on LiDAR Perception in Adverse Weather Conditions—0
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services—0
Textual Explanations for Automated Commentary DrivingCode0
FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle SettingsCode0
Semantic Segmentation with High Inference Speed in Off-Road EnvironmentsCode0
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Benchmark Results

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