Find or Sell Used Cars, Trucks, and SUVs in USA

2003 Ford Thunderbird Base Convertible 2-door 3.9l on 2040-cars

US $19,950.00
Year:2003 Mileage:46000 Color: Desert Blue /
 Black & White
Location:

La Habra, California, United States

La Habra, California, United States
Transmission:Automatic
Body Type:Convertible
Vehicle Title:Clear
Engine:3.9L 242Cu. In. V8 GAS DOHC Naturally Aspirated
Fuel Type:GAS
VIN: 1FAHP60A13Y101988 Year: 2003
Number of Cylinders: 8
Make: Ford
Model: Thunderbird
Trim: Base Convertible 2-Door
Options: Leather Seats, CD Player, Convertible
Drive Type: RWD
Safety Features: Anti-Lock Brakes, Driver Airbag, Passenger Airbag, Side Airbags
Mileage: 46,000
Power Options: Air Conditioning, Cruise Control, Power Locks, Power Windows, Power Seats
Exterior Color: Desert Blue
Interior Color: Black & White
Condition: Used: A vehicle is considered used if it has been registered and issued a title. Used vehicles have had at least one previous owner. The condition of the exterior, interior and engine can vary depending on the vehicle's history. See the seller's listing for full details and description of any imperfections. ... 

This is a rare Desert Blue Thunderbird. Always garaged, Service records, Good tires, hardtop convertible. Very fun to drive. See Pics and original vehicle discription for additional information

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Auto blog

Submit your questions for Autoblog Podcast #329 LIVE!

Mon, 15 Apr 2013

We're set to record Autoblog Podcast #329 tonight, and you can drop us your questions and comments via our Q&A module below. Subscribe to the Autoblog Podcast in iTunes if you haven't already done so, and if you want to take it all in live, tune in to our UStream (audio only) channel at 10:00 PM Eastern tonight.
Discussion Topics for Autoblog Podcast Episode #329
Subcompact sales slump, yet again

Ford partnering with MIT, Stanford on autonomous vehicle research

Fri, 24 Jan 2014

Ask any car engineer what's the biggest variable in achieving fuel economy targets, and he'll tell you "the driver." If one human can't understand human driving behavior enough to be certain about an innocuous number like miles per gallon, how is an autonomous car supposed to figure out what hundreds of other drivers are going to do in the course of a day? Ford has enlisted the help of Stanford and the Massachusetts Institute of Technology to find out.
Starting with the automated Fusion Hybrid introduced in December, MIT will be developing algorithms that driverless cars can use to "predict actions of other vehicles and pedestrians" and objects within the three-dimensional map provided by its four LIDAR sensors.
The Stanford team will research how to extend the 'vision' of that LIDAR array beyond obstructions while driving, analogous to the way a driver uses the entire width of a lane to see what's ahead of a larger vehicle in front. Ford says it wants to "provide the vehicle with common sense" as part of its Blueprint for Mobility, preparing for an autonomous world from 2025 and beyond.

Recharge Wrap-up: Ford's "snowtonomous" Fusion Hybrid, Porsche eyes battery makers

Fri, Mar 11 2016

Bosch and Panasonic are vying to be the battery supplier for Porsche's electric sports car based on the Mission E concept. While Bosch's costs may be higher, its solution would offer simpler logistics. Panasonic is already well established as a battery maker, providing the packs for the Porsche car's rival, Tesla. "We're in the final stage of making a decision," says Porsche CEO Oliver Blume, declining to comment on specific manufacturers. Neither Bosch nor Panasonic provided comment. Read more from Automotive News. Renault will supply a fleet of 150 Renault Zoe EVs for a smart solar charging project in Utrecht, Netherlands. The project involves the installation of 1,000 EV chargers powered by 10,000 photovoltaic panels. The Renault Zoes would be used as part of a carsharing program powered by the solar chargers. Renault and its partners will also implement a vehicle-to-grid system to provide energy during peak demand from the solar chargers and connected EVs. Read more in the press release from Renault. Ford has been testing an autonomous Fusion Hybrid prototype that is capable of driving itself in snowy conditions. Ford uses 3D mapping to scan the drive route. Its LiDAR laser mapping can even detect single falling snowflakes. It collects and processes up to 600 gigabytes of data per hour, comparing its environment to saved maps, a process that helps establish location more precisely than GPS. In addition to the LiDAR systems, the car is also equipped with cameras and radar to help it navigate. Eventually, the car could even be able to clean off its sensors when it detects loss of performance from ice and dirt. Read more in the press release below. FROM AUTONOMY TO SNOWTONOMY: HOW FORD FUSION HYBRID AUTONOMOUS RESEARCH VEHICLE CAN NAVIGATE IN WINTER DEARBORN, Mich., March 10, 2016 – Driving in snow can be a slippery challenge, with the potential for one blizzardy gust to white-out your field of view – a situation faced by the majority of people in the United States. So if self-driving cars are to become a reality – and they almost certainly will – they must be able to navigate snow-covered roads. In its quest to bring self-driving vehicles to millions of people around the world, Ford reveals six facts about its technology that allows for a car to drive itself in snow. 1. Mapping the way: Ford first creates high-resolution 3D maps using LiDAR technology to scan the area its autonomous vehicle will later drive in the snow.