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 511–520 of 2605 papers

TitleStatusHype
LSM: A Comprehensive Metric for Assessing the Safety of Lane Detection Systems in Autonomous Driving—0
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles—0
Exploring Camera Encoder Designs for Autonomous Driving Perception—0
A Neurosymbolic Approach to Adaptive Feature Extraction in SLAM—0
MapsTP: HD Map Images Based Multimodal Trajectory Prediction for Automated Vehicles—0
Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile RobotsCode0
Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks—0
Spatio-temporal cooperative control Method of Highway Ramp Merge Based on Vehicle-road Coordination—0
Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors—0
Dynamically Modulating Visual Place Recognition Sequence Length For Minimum Acceptable Performance Scenarios—0
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Benchmark Results

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