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 661670 of 2605 papers

TitleStatusHype
Edge-Enabled Collaborative Object Detection for Real-Time Multi-Vehicle PerceptionCode0
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic ImageryCode0
Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithmsCode0
DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter WeatherCode0
doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language NavigationCode0
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural NetworkCode0
Embedded real-time stereo estimation via Semi-Global Matching on the GPUCode0
No driver, No Regulation? --Online Legal Driving Behavior Monitoring for Self-driving VehiclesCode0
Distillation as a Defense to Adversarial Perturbations against Deep Neural NetworksCode0
Active propulsion noise shaping for multi-rotor aircraft localizationCode0
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Benchmark Results

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