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 2421–2430 of 2605 papers

TitleStatusHype
Parallelized Interactive Machine Learning on Autonomous Vehicles—0
Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks—0
Conversational Intent Understanding for Passengers in Autonomous Vehicles—0
Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous VehiclesCode2
An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles—0
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control—0
Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends—0
Computer Vision for Autonomous Vehicles—0
Risk-averse Behavior Planning for Autonomous Driving under Uncertainty—0
The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping—0
Show:102550
← PrevPage 243 of 261Next →

Benchmark Results

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