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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1291–1300 of 2605 papers

TitleStatusHype
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception—0
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models—0
Exiting the Simulation: The Road to Robust and Resilient Autonomous Vehicles at Scale—0
RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks—0
A Robust Pedestrian Detection Approach for Autonomous Vehicles—0
RLM-Tracking: Online Multi-Pedestrian Tracking Supported by Relative Location Mapping—0
Large-Scale Bandwidth and Power Optimization for Multi-Modal Edge Intelligence Autonomous Driving—0
Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural NetworksCode1
An Ontology-based Method to Identify Triggering Conditions for Perception Insufficiency of Autonomous Vehicles—0
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving—0
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Benchmark Results

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