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 1451–1460 of 2605 papers

TitleStatusHype
Real-Time Anomaly Detection and Reactive Planning with Large Language Models—0
Real-time decision-making for autonomous vehicles under faults—0
Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach—0
Real-time Eco-Driving Control in Electrified Connected and Autonomous Vehicles using Approximate Dynamic Programming—0
Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles—0
Real-time Monocular Depth Estimation with Sparse Supervision on Mobile—0
Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning—0
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml—0
Real-time Structure Flow—0
ReasonNet: End-to-End Driving with Temporal and Global Reasoning—0
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Benchmark Results

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