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

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Showing 2191–2200 of 2605 papers

TitleStatusHype
Multi-Feature View-Based Shallow Convolutional Neural Network for Road Segmentation—0
3D Point Cloud Processing and Learning for Autonomous Driving—0
Mixed Strategies for Robust Optimization of Unknown Objectives—0
Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS -- a collection of Technical Notes Part 1—0
Triangle-Net: Towards Robustness in Point Cloud LearningCode0
Training Adversarial Agents to Exploit Weaknesses in Deep Control PoliciesCode0
Pedestrian Models for Autonomous Driving Part I: Low-Level Models, from Sensing to Tracking—0
Generating Control Policies for Autonomous Vehicles Using Neural ODEs—0
Improvements of Motion Estimation and Coding using Neural Networks—0
siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection—0
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Benchmark Results

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