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

Showing 901910 of 2605 papers

TitleStatusHype
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction0
DeepCrashTest: Turning Dashcam Videos into Virtual Crash Tests for Automated Driving Systems0
Automated Generation of Diverse and Challenging Scenarios for Test and Evaluation of Autonomous Vehicles0
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective0
Deep Camera Pose Regression Using Pseudo-LiDAR0
Estimation of Scalar Field Distribution in the Fourier Domain0
Estimation of Tire-Road Friction for Road Vehicles: a Time Delay Neural Network Approach0
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers0
Deconvolutional Networks for Point-Cloud Vehicle Detection and Tracking in Driving Scenarios0
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving0
Show:102550
← PrevPage 91 of 261Next →

Benchmark Results

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