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 441450 of 2605 papers

TitleStatusHype
M2S-RoAD: Multi-Modal Semantic Segmentation for Road Damage Using Camera and LiDAR DataCode0
LiDAR-Camera Calibration using 3D-3D Point correspondencesCode0
ANNA: A Deep Learning Based Dataset in Heterogeneous Traffic for Autonomous VehiclesCode0
Learning to Map Vehicles into Bird's Eye ViewCode0
Multi-Agent Imitation Learning for Driving SimulationCode0
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path PredictionCode0
3D Traffic Simulation for Autonomous Vehicles in Unity and PythonCode0
Leveraging Shape Completion for 3D Siamese TrackingCode0
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and ClassificationCode0
BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory PredictionCode0
Show:102550
← PrevPage 45 of 261Next →

Benchmark Results

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