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 2041–2050 of 2605 papers

TitleStatusHype
Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study—0
Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment—0
Accelerating 3D Deep Learning with PyTorch3DCode3
Decoding CNN based Object Classifier Using Visualization—0
Towards robust sensing for Autonomous Vehicles: An adversarial perspective—0
Multi-Intersection Traffic Management for Autonomous Vehicles via Distributed Mixed Integer Linear Programming—0
Elevated LiDAR Placement under Energy and Throughput Capacity Constraints—0
Understanding Object Detection Through An Adversarial LensCode1
VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users—0
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning—0
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Benchmark Results

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