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 651–660 of 2605 papers

TitleStatusHype
Artificial Intelligence in Traffic Systems—0
PanSR: An Object-Centric Mask Transformer for Panoptic SegmentationCode0
Key Safety Design Overview in AI-driven Autonomous Vehicles—0
evS2CP: Real-time Simultaneous Speed and Charging Planner for Connected Electric Vehicles—0
ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving—0
Enhancing 3D Object Detection in Autonomous Vehicles Based on Synthetic Virtual Environment Analysis—0
Bayesian Data Augmentation and Training for Perception DNN in Autonomous Aerial VehiclesCode0
A Real-Time Defense Against Object Vanishing Adversarial Patch Attacks for Object Detection in Autonomous Vehicles—0
GVDepth: Zero-Shot Monocular Depth Estimation for Ground Vehicles based on Probabilistic Cue Fusion—0
doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language NavigationCode0
Show:102550
← PrevPage 66 of 261Next →

Benchmark Results

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