Breaking News

Synology Unveils DiskStation DS225 Plus New PS5 system update beta previews DualSense wireless controller pairing across multiple devices EnGenius Multi-Gigabit Switch Delivers 2.5G Performance with 90W PoE Viltrox’s AF 90mm F3.5 Lens for the DJI Inspire 3 EnGenius Announces Affordable ECW520 Access Point

logo

  • Share Us
    • Facebook
    • Twitter
  • Home
  • Home
  • News
  • Reviews
  • Essays
  • Forum
  • Legacy
  • About
    • Submit News

    • Contact Us
    • Privacy

    • Promotion
    • Advertise

    • RSS Feed
    • Site Map

Search form

Apple Paper Confirms Self-driving Vehicle Research

Apple Paper Confirms Self-driving Vehicle Research

Enterprise & IT Nov 22,2017 0

Apple scientists have disclosed a paper describinf how self-driving cars can spot cyclists and pedestrians while using fewer sensors, in what appears to confirm the company's work on autonomous vehicles.

The paper "VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection" by Yin Zhou and Oncel Tuzel was submitted on Nov. 17 to independent online journal arXiv. "VoxelNet" is a software designed to helping computers detect three-dimensional objects.

Self-driving cars often use a combination of normal two-dimensional cameras and depth-sensing "LiDAR" units to recognize the world around them. While the units supply depth information, their low resolution makes it hard to detect small, faraway objects without help from a normal camera linked to it in real time.

With new software, the Apple researchers said they were able to get "highly encouraging results" in spotting pedestrians and cyclists with just LiDAR data. They also wrote they were able to beat other approaches for detecting three-dimensional objects that use only LiDAR. The experiments were computer simulations and did not involve road tests.

"VoxelNet is a generic 3D detection network that unifies feature extraction and bounding box prediction into a single stage, end-to-end trainable deep network. Specifically, VoxelNet divides a point cloud into equally spaced 3D voxels and transforms a group of points within each voxel into a unified feature representation through the newly introduced voxel feature encoding (VFE) layer. In this way, the point cloud is encoded as a descriptive volumetric representation, which is then connected to a RPN to generate detections," the paper reads.

"Experiments on the KITTI car detection benchmark show that VoxelNet outperforms the state-of-the-art LiDAR based 3D detection methods by a large margin. Furthermore, our network learns an effective discriminative representation of objects with various geometries, leading to encouraging results in 3D detection of pedestrians and cyclists, based on only LiDAR," Apple researchers say.

Apple Chief Executive Tim Cook has called self-driving cars "the mother of all AI projects," but Apple has given few hints about the nature of its self-driving car ambitious.

Last December, Apple asked federal regulators not to restrict testing of the technology.

In April, Apple filed a self-driving car testing plan with California regulators.

Tags: Self-driving CarsAppleApple Project Titan
Previous Post
Uber Paid Hackers to Keep Massive Data Breach Secret
Next Post
FCC Chief's Proposal Reverses the Net netruality Rules

Related Posts

  • Apple unveils Mac Studio featuring M4 Max and new M3 Ultra

  • Apple introduces iPad Air with powerful M3 chip and new Magic Keyboard

  • Apple debuts iPhone 16e

  • Apple introduces M4 Pro and M4 Max and new MacBook Pro

  • Apple unveils the new iMac with M4, supercharged by Apple Intelligence and available in fresh colors

  • Apple introduces powerful new iPad mini built for Apple Intelligence

  • Apple expands Self Service Repair Diagnostics support to Europe

  • Canon developing new RF-S 7.8mm F4 STM DUAL lens for EOS R7 camera for recording spatial video for Apple Vision Pro

Latest News

Synology Unveils DiskStation DS225 Plus
Enterprise & IT

Synology Unveils DiskStation DS225 Plus

New PS5 system update beta previews DualSense wireless controller pairing across multiple devices
Gaming

New PS5 system update beta previews DualSense wireless controller pairing across multiple devices

EnGenius Multi-Gigabit Switch Delivers 2.5G Performance with 90W PoE
Enterprise & IT

EnGenius Multi-Gigabit Switch Delivers 2.5G Performance with 90W PoE

Viltrox’s AF 90mm F3.5 Lens for the DJI Inspire 3
Drones

Viltrox’s AF 90mm F3.5 Lens for the DJI Inspire 3

EnGenius Announces Affordable ECW520 Access Point
Enterprise & IT

EnGenius Announces Affordable ECW520 Access Point

Popular Reviews

be quiet! Light Loop 360mm

be quiet! Light Loop 360mm

be quiet! Dark Mount Keyboard

be quiet! Dark Mount Keyboard

be quiet! Light Mount Keyboard

be quiet! Light Mount Keyboard

Noctua NH-D15 G2

Noctua NH-D15 G2

Soundpeats Pop Clip

Soundpeats Pop Clip

be quiet! Light Base 600 LX

be quiet! Light Base 600 LX

be quiet! Pure Base 501

be quiet! Pure Base 501

Terramaster F8-SSD

Terramaster F8-SSD

Main menu

  • Home
  • News
  • Reviews
  • Essays
  • Forum
  • Legacy
  • About
    • Submit News

    • Contact Us
    • Privacy

    • Promotion
    • Advertise

    • RSS Feed
    • Site Map
  • About
  • Privacy
  • Contact Us
  • Promotional Opportunities @ CdrInfo.com
  • Advertise on out site
  • Submit your News to our site
  • RSS Feed