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 1051–1060 of 2605 papers

TitleStatusHype
Driving Style Recognition at First Impression for Online Trajectory Prediction—0
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning—0
A Neurosymbolic Approach to Adaptive Feature Extraction in SLAM—0
Driving Everywhere with Large Language Model Policy Adaptation—0
Benchmarking Deep Learning Models for Object Detection on Edge Computing Devices—0
Driving Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections: A Differential Game Approach—0
DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning—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
Drivers' Manoeuvre Modelling and Prediction for Safe HRI—0
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Benchmark Results

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