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 601–610 of 2605 papers

TitleStatusHype
Decision Making for Autonomous Vehicles—0
Benchmarking Deep Learning Models for Object Detection on Edge Computing Devices—0
Benchmarking Adversarially Robust Quantum Machine Learning at Scale—0
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images—0
Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon—0
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles—0
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios—0
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles—0
Behavior Planning of Autonomous Cars with Social Perception—0
An Empirical Analysis of Range for 3D Object Detection—0
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Benchmark Results

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