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 831–840 of 2605 papers

TitleStatusHype
AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems—0
AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging—0
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors—0
Cross-cultural analysis of pedestrian group behaviour influence on crossing decisions in interactions with autonomous vehicles—0
Communication-Aware Consistent Edge Selection for Mobile Users and Autonomous Vehicles—0
A Survey and Evaluation of Adversarial Attacks for Object Detection—0
Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation—0
TransRx-6G-V2X : Transformer Encoder-Based Deep Neural Receiver For Next Generation of Cellular Vehicular Communications—0
Areas of Improvement for Autonomous Vehicles: A Machine Learning Analysis of Disengagement Reports—0
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving—0
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Benchmark Results

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