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 1591–1600 of 2605 papers

TitleStatusHype
Continual Object Detection: A review of definitions, strategies, and challenges—0
P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking—0
Efficient textual explanations for complex road and traffic scenarios based on semantic segmentation—0
The risk ethics of autonomous vehicles: a continuous trolley problem in regular road traffic—0
Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning—0
E-Scooter Rider Detection and Classification in Dense Urban EnvironmentsCode0
Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments—0
Emergent Visual Sensors for Autonomous Vehicles—0
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml—0
A rigorous multi-population multi-lane hybrid traffic model and its mean-field limit for dissipation of waves via autonomous vehicles—0
Show:102550
← PrevPage 160 of 261Next →

Benchmark Results

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