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 2581–2590 of 2605 papers

TitleStatusHype
The Stixel world: A medium-level representation of traffic scenes—0
Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach—0
Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial ImpostersCode0
The Value of Inferring the Internal State of Traffic Participants for Autonomous Freeway Driving—0
Learning Adversary-Resistant Deep Neural Networks—0
Computational Mapping of the Ground Reflectivity with Laser Scanners—0
Learning from Maps: Visual Common Sense for Autonomous Driving—0
Reinforcement Learning in Conflicting Environments for Autonomous Vehicles—0
Embedded real-time stereo estimation via Semi-Global Matching on the GPUCode0
Using Non-invertible Data Transformations to Build Adversarial-Robust Neural Networks—0
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Benchmark Results

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