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 2491–2500 of 2605 papers

TitleStatusHype
Encoding Motion Primitives for Autonomous Vehicles using Virtual Velocity Constraints and Neural Network Scheduling—0
A Dataset for Lane Instance Segmentation in Urban Environments—0
VUNet: Dynamic Scene View Synthesis for Traversability Estimation using an RGB Camera—0
Learning Traffic Flow Dynamics using Random Fields—0
DeepLaser: Practical Fault Attack on Deep Neural Networks—0
DynaSLAM: Tracking, Mapping and Inpainting in Dynamic ScenesCode0
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation—0
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving—0
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles—0
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice—0
Show:102550
← PrevPage 250 of 261Next →

Benchmark Results

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