Here's the self-driving Tesla article whose cyber link wouldn't work too well

Inside the Self-Driving Tesla Fatal Accident

By ANJALI SINGHVI and KARL RUSSELL UPDATED July 12, 2016

After Joshua Brown, 40, of Canton, Ohio, was killed

driving a Tesla Model S in the first fatality involving a

self-driving car, questions have arisen about the safety

of the car’s technology. It is not yet known, however, if

the accident was the fault of the car’s technology, Mr.

Brown or that of the driver of the tractor-trailer the car hit.

How the Accident Happened

The Tesla Model S crashed in northern Florida into a truck that was turning left in front of it. The Tesla then ran off the road, hitting a fence and a power pole before coming to a stop.

US 27

Trailer turns left

in front of the Tesla

1

Tesla doesn’t stop,

hitting the trailer and

traveling under it

2

3

FENCE

Tesla veers off road

and strikes two fences

and a power pole

 

POWER POLE

The New York Times |Source: Florida traffic crash report

How Tesla’s Technology Works

The Tesla uses a computer vision-based vehicle detection system, but according to the company, it is not intended to be used hands-free and parts of the system are unfinished.The accident may have happened in part because the crash-avoidance system is designed to engage only when radar and computer vision systems agree that there is an obstacle, according to an industry executive with direct knowledge of the system.

Tesla Model S Michael Nagle for The New York Times

Forward-facing camera

Image-processing software can detect lane stripes, signs, stoplights, road signs and other objects.

Forward radar

Reflected microwaves can identify location and speed — but not always type — of nearby vehicles.

Utrasonic sensors

Reflected sound waves detect distance to nearby objects.

GPS

Combined with high-precision mapping, GPS determines the car’s position on the road.

How It Compares

Google does not intend to make its own cars but to partner with carmakers, and recently announced plans to adapt 100 Chrysler minivans for autonomous driving. Google’s cars primarily use a laser system known as Lidar(light detection and ranging), a spinning range-finding unit on top of the car that creates a detailed map of the car’s surroundings as it moves.Lidar is also used on many of the experimental autonomous vehicles being developed by Nissan, BMW, Apple and others, but not by Tesla. Some experts speculate that a Lidar-driven car might have avoided this fatal crash.

Google’s self-driving car on its test track. Gordon De Los Santos/Google

Self-Driving Technologies in Use

Collision avoidance

Radar-, laser-, or camera-based systems that warn drivers of an impending collision using lights, noises or other cues. Some systems can recognize a person straying into the road. If the driver ignores the warnings, some systems can apply the brakes.

 

Drifting warning

When your car begins to deviate from its lane, some systems alert the driver with a warning buzzer, light and small counter-steering force to the steering wheel.

 

Blind-spot detectors

Uses cameras or radar to detect vehicles diagonally behind a car, in the driver’s blind spot. Alerts the driver with sounds or warning lights in the rearview mirror or in the car’s A-pillar.

 

Enhanced cruise control

Maintains a predefined distance to a vehicle ahead. If it slows, your car automatically slows also. If a car moves into your lane, your car slows to keep its distance. Very useful in bumper-to-bumper traffic.

 

Self parking

The car maneuvers itself into a parking spot using cameras or sonars. But the driver usually brakes and has to follow commands. It first appeared in 2003 in the Toyota Prius. It is now offered by BMW, Ford and many others.