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 431–440 of 2605 papers

TitleStatusHype
Human-Centered Human-AI Collaboration (HCHAC)—0
Task-Driven Implicit Representations for Automated Design of LiDAR Systems—0
InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information TheoryCode0
Large Language Models in Code Co-generation for Safe Autonomous Vehicles—0
Emergence of Hebbian Dynamics in Regularized Non-Local Learners—0
Human-like Semantic Navigation for Autonomous Driving using Knowledge Representation and Large Language Models—0
Neuromorphic Mimicry Attacks Exploiting Brain-Inspired Computing for Covert Cyber Intrusions—0
Objective Bicycle Occlusion Level Classification using a Deformable Parts-Based ModelCode0
4D-ROLLS: 4D Radar Occupancy Learning via LiDAR SupervisionCode0
Integration of TinyML and LargeML: A Survey of 6G and Beyond—0
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Benchmark Results

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